import matplotlib.pyplot as plt

from create_river_roms import *
import os
from IPython.display import Code

plt.rc('font', size=16)

Make monthly river forcing files for 1998–2018

base = "output/river"

def run_year(year):
    
    for i in range(1,13):
        if i == 12:
            start, end = f"{year}-{i}-1T00", f"{year+1}-{1}-1T00"
        else:
            start, end = f"{year}-{i}-1T00", f"{year}-{i+1}-1T00"

        fname = pd.Timestamp(start).strftime("axiom.ciofs.river.%Y%m%d.nc")
        fname = f"{base}/{fname}"
        
        if not os.path.exists(fname) or not os.path.exists(fname.replace(".nc",".txt")):
            ds = create_river_forcing_file(start, end, ndays=8, skip_last=True)
            ds.to_netcdf(fname)
        
        print(Code(fname.replace(".nc",".txt")))

        
def plot_year(year):
    locs = f"{base}/axiom.ciofs.river.{year}*.nc"
    ds = xr.open_mfdataset(locs, concat_dim="time", combine='nested')
    ds = ds.swap_dims({"time": "river_time"})

    unique_inds = list(set([station_list_file.index(station_list_file[i]) for i in range(nrivers)]))
    labels = [station_list_file[i] for i in unique_inds]
    nrepeats = [station_list_file.count(station) for station in labels]
    abs(ds["river_transport"].isel(river=unique_inds)*nrepeats).plot.line(x="river_time", lw=3, figsize=(15,7));
    plt.legend(labels)

    ds["river_temp"].isel(s_rho=0, river=unique_inds).plot.line(x="river_time", lw=3, figsize=(15,7));
    plt.legend(labels)

1998

year = 1998
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-01-01 00:00:00', '1998-01-01 00:15:00',
               '1998-01-01 00:30:00', '1998-01-01 00:45:00',
               '1998-01-01 01:00:00', '1998-01-01 01:15:00',
               '1998-01-01 01:30:00', '1998-01-01 01:45:00',
               '1998-01-01 02:00:00', '1998-01-01 02:15:00',
               ...
               '1998-01-30 06:30:00', '1998-01-30 06:45:00',
               '1998-01-30 07:00:00', '1998-01-30 07:15:00',
               '1998-01-30 07:30:00', '1998-01-30 07:45:00',
               '1998-01-30 08:00:00', '1998-01-30 08:15:00',
               '1998-01-30 08:30:00', '1998-01-30 08:45:00'],
              dtype='datetime64[ns]', length=2820, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-01-01 00:00:00', '1998-01-01 00:15:00',
               '1998-01-01 00:30:00', '1998-01-01 00:45:00',
               '1998-01-01 01:00:00', '1998-01-01 01:15:00',
               '1998-01-01 01:30:00', '1998-01-01 01:45:00',
               '1998-01-01 02:00:00', '1998-01-01 02:15:00',
               '1998-01-01 02:30:00', '1998-01-01 02:45:00',
               '1998-01-01 03:00:00', '1998-01-01 03:15:00',
               '1998-01-01 03:30:00', '1998-01-01 03:45:00',
               '1998-01-01 04:00:00', '1998-01-01 04:15:00',
               '1998-01-01 04:30:00', '1998-01-01 04:45:00',
               '1998-01-01 05:00:00', '1998-01-01 05:15:00',
               '1998-01-01 05:30:00', '1998-01-01 05:45:00',
               '1998-01-01 06:00:00', '1998-01-01 06:15:00',
               '1998-01-01 06:30:00', '1998-01-01 06:45:00',
               '1998-01-01 07:00:00', '1998-01-01 07:15:00',
               '1998-01-01 07:30:00', '1998-01-01 07:45:00',
               '1998-01-01 08:00:00', '1998-01-01 08:15:00',
               '1998-01-01 08:30:00', '1998-01-01 08:45:00',
               '1998-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-1-1T00 to 1998-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-1-1T00 to 1998-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-02-08 09:00:00', '1998-02-08 09:15:00',
               '1998-02-08 09:30:00', '1998-02-08 09:45:00',
               '1998-02-08 10:00:00', '1998-02-08 10:15:00',
               '1998-02-08 10:30:00', '1998-02-08 10:45:00',
               '1998-02-08 11:00:00', '1998-02-08 11:15:00',
               ...
               '1998-02-19 06:30:00', '1998-02-19 06:45:00',
               '1998-02-19 07:00:00', '1998-02-19 07:15:00',
               '1998-02-19 07:30:00', '1998-02-19 07:45:00',
               '1998-02-19 08:00:00', '1998-02-19 08:15:00',
               '1998-02-19 08:30:00', '1998-02-19 08:45:00'],
              dtype='datetime64[ns]', length=1056, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-02-01 00:00:00', '1998-02-01 00:15:00',
               '1998-02-01 00:30:00', '1998-02-01 00:45:00',
               '1998-02-01 01:00:00', '1998-02-01 01:15:00',
               '1998-02-01 01:30:00', '1998-02-01 01:45:00',
               '1998-02-01 02:00:00', '1998-02-01 02:15:00',
               '1998-02-01 02:30:00', '1998-02-01 02:45:00',
               '1998-02-01 03:00:00', '1998-02-01 03:15:00',
               '1998-02-01 03:30:00', '1998-02-01 03:45:00',
               '1998-02-01 04:00:00', '1998-02-01 04:15:00',
               '1998-02-01 04:30:00', '1998-02-01 04:45:00',
               '1998-02-01 05:00:00', '1998-02-01 05:15:00',
               '1998-02-01 05:30:00', '1998-02-01 05:45:00',
               '1998-02-01 06:00:00', '1998-02-01 06:15:00',
               '1998-02-01 06:30:00', '1998-02-01 06:45:00',
               '1998-02-01 07:00:00', '1998-02-01 07:15:00',
               '1998-02-01 07:30:00', '1998-02-01 07:45:00',
               '1998-02-01 08:00:00', '1998-02-01 08:15:00',
               '1998-02-01 08:30:00', '1998-02-01 08:45:00',
               '1998-02-01 09:00:00', '1998-02-28 08:45:00',
               '1998-02-28 09:00:00', '1998-02-28 09:15:00',
               '1998-02-28 09:30:00', '1998-02-28 09:45:00',
               '1998-02-28 10:00:00', '1998-02-28 10:15:00',
               '1998-02-28 10:30:00', '1998-02-28 10:45:00',
               '1998-02-28 11:00:00', '1998-02-28 11:15:00',
               '1998-02-28 11:30:00', '1998-02-28 11:45:00',
               '1998-02-28 12:00:00', '1998-02-28 12:15:00',
               '1998-02-28 12:30:00', '1998-02-28 12:45:00',
               '1998-02-28 13:00:00', '1998-02-28 13:15:00',
               '1998-02-28 13:30:00', '1998-02-28 13:45:00',
               '1998-02-28 14:00:00', '1998-02-28 14:15:00',
               '1998-02-28 14:30:00', '1998-02-28 14:45:00',
               '1998-02-28 15:00:00', '1998-02-28 15:15:00',
               '1998-02-28 15:30:00', '1998-02-28 15:45:00',
               '1998-02-28 16:00:00', '1998-02-28 16:15:00',
               '1998-02-28 16:30:00', '1998-02-28 16:45:00',
               '1998-02-28 17:00:00', '1998-02-28 17:15:00',
               '1998-02-28 17:30:00', '1998-02-28 17:45:00',
               '1998-02-28 18:00:00', '1998-02-28 18:15:00',
               '1998-02-28 18:30:00', '1998-02-28 18:45:00',
               '1998-02-28 19:00:00', '1998-02-28 19:15:00',
               '1998-02-28 19:30:00', '1998-02-28 19:45:00',
               '1998-02-28 20:00:00', '1998-02-28 20:15:00',
               '1998-02-28 20:30:00', '1998-02-28 20:45:00',
               '1998-02-28 21:00:00', '1998-02-28 21:15:00',
               '1998-02-28 21:30:00', '1998-02-28 21:45:00',
               '1998-02-28 22:00:00', '1998-02-28 22:15:00',
               '1998-02-28 22:30:00', '1998-02-28 22:45:00',
               '1998-02-28 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-02-01 00:00:00', '1998-02-01 00:15:00',
               '1998-02-01 00:30:00', '1998-02-01 00:45:00',
               '1998-02-01 01:00:00', '1998-02-01 01:15:00',
               '1998-02-01 01:30:00', '1998-02-01 01:45:00',
               '1998-02-01 02:00:00', '1998-02-01 02:15:00',
               '1998-02-01 02:30:00', '1998-02-01 02:45:00',
               '1998-02-01 03:00:00', '1998-02-01 03:15:00',
               '1998-02-01 03:30:00', '1998-02-01 03:45:00',
               '1998-02-01 04:00:00', '1998-02-01 04:15:00',
               '1998-02-01 04:30:00', '1998-02-01 04:45:00',
               '1998-02-01 05:00:00', '1998-02-01 05:15:00',
               '1998-02-01 05:30:00', '1998-02-01 05:45:00',
               '1998-02-01 06:00:00', '1998-02-01 06:15:00',
               '1998-02-01 06:30:00', '1998-02-01 06:45:00',
               '1998-02-01 07:00:00', '1998-02-01 07:15:00',
               '1998-02-01 07:30:00', '1998-02-01 07:45:00',
               '1998-02-01 08:00:00', '1998-02-01 08:15:00',
               '1998-02-01 08:30:00', '1998-02-01 08:45:00',
               '1998-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-02-11 08:45:00', '1998-02-11 09:00:00',
               '1998-02-11 09:15:00', '1998-02-11 09:30:00',
               '1998-02-11 09:45:00', '1998-02-11 10:00:00',
               '1998-02-11 10:15:00', '1998-02-11 10:30:00',
               '1998-02-11 10:45:00', '1998-02-11 11:00:00',
               ...
               '1998-02-21 06:30:00', '1998-02-21 06:45:00',
               '1998-02-21 07:00:00', '1998-02-21 07:15:00',
               '1998-02-21 07:30:00', '1998-02-21 07:45:00',
               '1998-02-21 08:00:00', '1998-02-21 08:15:00',
               '1998-02-21 08:30:00', '1998-02-21 08:45:00'],
              dtype='datetime64[ns]', length=961, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-02-01 00:00:00', '1998-02-01 00:15:00',
               '1998-02-01 00:30:00', '1998-02-01 00:45:00',
               '1998-02-01 01:00:00', '1998-02-01 01:15:00',
               '1998-02-01 01:30:00', '1998-02-01 01:45:00',
               '1998-02-01 02:00:00', '1998-02-01 02:15:00',
               ...
               '1998-02-28 20:45:00', '1998-02-28 21:00:00',
               '1998-02-28 21:15:00', '1998-02-28 21:30:00',
               '1998-02-28 21:45:00', '1998-02-28 22:00:00',
               '1998-02-28 22:15:00', '1998-02-28 22:30:00',
               '1998-02-28 22:45:00', '1998-02-28 23:00:00'],
              dtype='datetime64[ns]', length=1724, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-2-1T00 to 1998-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-2-1T00 to 1998-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-03-01 00:00:00', '1998-03-01 00:15:00',
               '1998-03-01 00:30:00', '1998-03-01 00:45:00',
               '1998-03-01 01:00:00', '1998-03-01 01:15:00',
               '1998-03-01 01:30:00', '1998-03-01 01:45:00',
               '1998-03-01 02:00:00', '1998-03-01 02:15:00',
               ...
               '1998-03-30 06:30:00', '1998-03-30 06:45:00',
               '1998-03-30 07:00:00', '1998-03-30 07:15:00',
               '1998-03-30 07:30:00', '1998-03-30 07:45:00',
               '1998-03-30 08:00:00', '1998-03-30 08:15:00',
               '1998-03-30 08:30:00', '1998-03-30 08:45:00'],
              dtype='datetime64[ns]', length=2820, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-03-02 09:00:00', '1998-03-02 09:15:00',
               '1998-03-02 09:30:00', '1998-03-02 09:45:00',
               '1998-03-02 10:00:00', '1998-03-02 10:15:00',
               '1998-03-02 10:30:00', '1998-03-02 10:45:00',
               '1998-03-02 11:00:00', '1998-03-02 11:15:00',
               ...
               '1998-03-13 06:30:00', '1998-03-13 06:45:00',
               '1998-03-13 07:00:00', '1998-03-13 07:15:00',
               '1998-03-13 07:30:00', '1998-03-13 07:45:00',
               '1998-03-13 08:00:00', '1998-03-13 08:15:00',
               '1998-03-13 08:30:00', '1998-03-13 08:45:00'],
              dtype='datetime64[ns]', length=1056, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-03-01 00:00:00', '1998-03-01 00:15:00',
               '1998-03-01 00:30:00', '1998-03-01 00:45:00',
               '1998-03-01 01:00:00', '1998-03-01 01:15:00',
               '1998-03-01 01:30:00', '1998-03-01 01:45:00',
               '1998-03-01 02:00:00', '1998-03-01 02:15:00',
               '1998-03-01 02:30:00', '1998-03-01 02:45:00',
               '1998-03-01 03:00:00', '1998-03-01 03:15:00',
               '1998-03-01 03:30:00', '1998-03-01 03:45:00',
               '1998-03-01 04:00:00', '1998-03-01 04:15:00',
               '1998-03-01 04:30:00', '1998-03-01 04:45:00',
               '1998-03-01 05:00:00', '1998-03-01 05:15:00',
               '1998-03-01 05:30:00', '1998-03-01 05:45:00',
               '1998-03-01 06:00:00', '1998-03-01 06:15:00',
               '1998-03-01 06:30:00', '1998-03-01 06:45:00',
               '1998-03-01 07:00:00', '1998-03-01 07:15:00',
               '1998-03-01 07:30:00', '1998-03-01 07:45:00',
               '1998-03-01 08:00:00', '1998-03-01 08:15:00',
               '1998-03-01 08:30:00', '1998-03-01 08:45:00',
               '1998-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-03-01 00:00:00', '1998-03-01 00:15:00',
               '1998-03-01 00:30:00', '1998-03-01 00:45:00',
               '1998-03-01 01:00:00', '1998-03-01 01:15:00',
               '1998-03-01 01:30:00', '1998-03-01 01:45:00',
               '1998-03-01 02:00:00', '1998-03-01 02:15:00',
               '1998-03-01 02:30:00', '1998-03-01 02:45:00',
               '1998-03-01 03:00:00', '1998-03-01 03:15:00',
               '1998-03-01 03:30:00', '1998-03-01 03:45:00',
               '1998-03-01 04:00:00', '1998-03-01 04:15:00',
               '1998-03-01 04:30:00', '1998-03-01 04:45:00',
               '1998-03-01 05:00:00', '1998-03-01 05:15:00',
               '1998-03-01 05:30:00', '1998-03-01 05:45:00',
               '1998-03-01 06:00:00', '1998-03-01 06:15:00',
               '1998-03-01 06:30:00', '1998-03-01 06:45:00',
               '1998-03-01 07:00:00', '1998-03-01 07:15:00',
               '1998-03-01 07:30:00', '1998-03-01 07:45:00',
               '1998-03-01 08:00:00', '1998-03-01 08:15:00',
               '1998-03-01 08:30:00', '1998-03-01 08:45:00',
               '1998-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-03-01 00:00:00', '1998-03-01 00:15:00',
               '1998-03-01 00:30:00', '1998-03-01 00:45:00',
               '1998-03-01 01:00:00', '1998-03-01 01:15:00',
               '1998-03-01 01:30:00', '1998-03-01 01:45:00',
               '1998-03-01 02:00:00', '1998-03-01 02:15:00',
               ...
               '1998-03-09 06:30:00', '1998-03-09 06:45:00',
               '1998-03-09 07:00:00', '1998-03-09 07:15:00',
               '1998-03-09 07:30:00', '1998-03-09 07:45:00',
               '1998-03-09 08:00:00', '1998-03-09 08:15:00',
               '1998-03-09 08:30:00', '1998-03-09 08:45:00'],
              dtype='datetime64[ns]', length=804, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-03-09 09:00:00', '1998-03-09 09:15:00',
               '1998-03-09 09:30:00', '1998-03-09 09:45:00',
               '1998-03-09 10:00:00', '1998-03-09 10:15:00',
               '1998-03-09 10:30:00', '1998-03-09 10:45:00',
               '1998-03-09 11:00:00', '1998-03-09 11:15:00',
               ...
               '1998-03-31 20:45:00', '1998-03-31 21:00:00',
               '1998-03-31 21:15:00', '1998-03-31 21:30:00',
               '1998-03-31 21:45:00', '1998-03-31 22:00:00',
               '1998-03-31 22:15:00', '1998-03-31 22:30:00',
               '1998-03-31 22:45:00', '1998-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2169, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-3-1T00 to 1998-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-3-1T00 to 1998-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-04-01 00:00:00', '1998-04-01 00:15:00',
               '1998-04-01 00:30:00', '1998-04-01 00:45:00',
               '1998-04-01 01:00:00', '1998-04-01 01:15:00',
               '1998-04-01 01:30:00', '1998-04-01 01:45:00',
               '1998-04-01 02:00:00', '1998-04-01 02:15:00',
               '1998-04-01 02:30:00', '1998-04-01 02:45:00',
               '1998-04-01 03:00:00', '1998-04-01 03:15:00',
               '1998-04-01 03:30:00', '1998-04-01 03:45:00',
               '1998-04-01 04:00:00', '1998-04-01 04:15:00',
               '1998-04-01 04:30:00', '1998-04-01 04:45:00',
               '1998-04-01 05:00:00', '1998-04-01 05:15:00',
               '1998-04-01 05:30:00', '1998-04-01 05:45:00',
               '1998-04-01 06:00:00', '1998-04-01 06:15:00',
               '1998-04-01 06:30:00', '1998-04-01 06:45:00',
               '1998-04-01 07:00:00', '1998-04-01 07:15:00',
               '1998-04-01 07:30:00', '1998-04-01 07:45:00',
               '1998-04-01 08:00:00', '1998-04-01 08:15:00',
               '1998-04-01 08:30:00', '1998-04-01 08:45:00',
               '1998-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-04-01 00:00:00', '1998-04-01 00:15:00',
               '1998-04-01 00:30:00', '1998-04-01 00:45:00',
               '1998-04-01 01:00:00', '1998-04-01 01:15:00',
               '1998-04-01 01:30:00', '1998-04-01 01:45:00',
               '1998-04-01 02:00:00', '1998-04-01 02:15:00',
               '1998-04-01 02:30:00', '1998-04-01 02:45:00',
               '1998-04-01 03:00:00', '1998-04-01 03:15:00',
               '1998-04-01 03:30:00', '1998-04-01 03:45:00',
               '1998-04-01 04:00:00', '1998-04-01 04:15:00',
               '1998-04-01 04:30:00', '1998-04-01 04:45:00',
               '1998-04-01 05:00:00', '1998-04-01 05:15:00',
               '1998-04-01 05:30:00', '1998-04-01 05:45:00',
               '1998-04-01 06:00:00', '1998-04-01 06:15:00',
               '1998-04-01 06:30:00', '1998-04-01 06:45:00',
               '1998-04-01 07:00:00', '1998-04-01 07:15:00',
               '1998-04-01 07:30:00', '1998-04-01 07:45:00',
               '1998-04-01 08:00:00', '1998-04-01 08:15:00',
               '1998-04-01 08:30:00', '1998-04-01 08:45:00',
               '1998-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-04-01 00:00:00', '1998-04-01 00:15:00',
               '1998-04-01 00:30:00', '1998-04-01 00:45:00',
               '1998-04-01 01:00:00', '1998-04-01 01:15:00',
               '1998-04-01 01:30:00', '1998-04-01 01:45:00',
               '1998-04-01 02:00:00', '1998-04-01 02:15:00',
               '1998-04-01 02:30:00', '1998-04-01 02:45:00',
               '1998-04-01 03:00:00', '1998-04-01 03:15:00',
               '1998-04-01 03:30:00', '1998-04-01 03:45:00',
               '1998-04-01 04:00:00', '1998-04-01 04:15:00',
               '1998-04-01 04:30:00', '1998-04-01 04:45:00',
               '1998-04-01 05:00:00', '1998-04-01 05:15:00',
               '1998-04-01 05:30:00', '1998-04-01 05:45:00',
               '1998-04-01 06:00:00', '1998-04-01 06:15:00',
               '1998-04-01 06:30:00', '1998-04-01 06:45:00',
               '1998-04-01 07:00:00', '1998-04-01 07:15:00',
               '1998-04-01 07:30:00', '1998-04-01 07:45:00',
               '1998-04-01 08:00:00', '1998-04-01 08:15:00',
               '1998-04-01 08:30:00', '1998-04-01 08:45:00',
               '1998-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-04-01 00:00:00', '1998-04-01 00:15:00',
               '1998-04-01 00:30:00', '1998-04-01 00:45:00',
               '1998-04-01 01:00:00', '1998-04-01 01:15:00',
               '1998-04-01 01:30:00', '1998-04-01 01:45:00',
               '1998-04-01 02:00:00', '1998-04-01 02:15:00',
               ...
               '1998-04-30 20:45:00', '1998-04-30 21:00:00',
               '1998-04-30 21:15:00', '1998-04-30 21:30:00',
               '1998-04-30 21:45:00', '1998-04-30 22:00:00',
               '1998-04-30 22:15:00', '1998-04-30 22:30:00',
               '1998-04-30 22:45:00', '1998-04-30 23:00:00'],
              dtype='datetime64[ns]', length=2877, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-04-01 00:00:00', '1998-04-01 00:15:00',
               '1998-04-01 00:30:00', '1998-04-01 00:45:00',
               '1998-04-01 01:00:00', '1998-04-01 01:15:00',
               '1998-04-01 01:30:00', '1998-04-01 01:45:00',
               '1998-04-01 02:00:00', '1998-04-01 02:15:00',
               ...
               '1998-04-02 08:15:00', '1998-04-02 08:30:00',
               '1998-04-02 08:45:00', '1998-04-02 09:00:00',
               '1998-04-05 02:00:00', '1998-04-05 02:15:00',
               '1998-04-05 02:30:00', '1998-04-05 02:45:00',
               '1998-04-05 03:00:00', '1998-04-05 03:15:00'],
              dtype='datetime64[ns]', length=139, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-4-1T00 to 1998-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-4-1T00 to 1998-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-05-01 00:00:00', '1998-05-01 00:15:00',
               '1998-05-01 00:30:00', '1998-05-01 00:45:00',
               '1998-05-01 01:00:00', '1998-05-01 01:15:00',
               '1998-05-01 01:30:00', '1998-05-01 01:45:00',
               '1998-05-01 02:00:00', '1998-05-01 02:15:00',
               '1998-05-01 02:30:00', '1998-05-01 02:45:00',
               '1998-05-01 03:00:00', '1998-05-01 03:15:00',
               '1998-05-01 03:30:00', '1998-05-01 03:45:00',
               '1998-05-01 04:00:00', '1998-05-01 04:15:00',
               '1998-05-01 04:30:00', '1998-05-01 04:45:00',
               '1998-05-01 05:00:00', '1998-05-01 05:15:00',
               '1998-05-01 05:30:00', '1998-05-01 05:45:00',
               '1998-05-01 06:00:00', '1998-05-01 06:15:00',
               '1998-05-01 06:30:00', '1998-05-01 06:45:00',
               '1998-05-01 07:00:00', '1998-05-01 07:15:00',
               '1998-05-01 07:30:00', '1998-05-01 07:45:00',
               '1998-05-01 08:00:00', '1998-05-01 16:30:00',
               '1998-05-01 16:45:00', '1998-05-01 17:00:00',
               '1998-05-01 17:15:00', '1998-05-01 17:30:00',
               '1998-05-01 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-05-01 00:00:00', '1998-05-01 00:15:00',
               '1998-05-01 00:30:00', '1998-05-01 00:45:00',
               '1998-05-01 01:00:00', '1998-05-01 01:15:00',
               '1998-05-01 01:30:00', '1998-05-01 01:45:00',
               '1998-05-01 02:00:00', '1998-05-01 02:15:00',
               '1998-05-01 02:30:00', '1998-05-01 02:45:00',
               '1998-05-01 03:00:00', '1998-05-01 03:15:00',
               '1998-05-01 03:30:00', '1998-05-01 03:45:00',
               '1998-05-01 04:00:00', '1998-05-01 04:15:00',
               '1998-05-01 04:30:00', '1998-05-01 04:45:00',
               '1998-05-01 05:00:00', '1998-05-01 05:15:00',
               '1998-05-01 05:30:00', '1998-05-01 05:45:00',
               '1998-05-01 06:00:00', '1998-05-01 06:15:00',
               '1998-05-01 06:30:00', '1998-05-01 06:45:00',
               '1998-05-01 07:00:00', '1998-05-01 07:15:00',
               '1998-05-01 07:30:00', '1998-05-01 07:45:00',
               '1998-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-05-01 00:00:00', '1998-05-01 00:15:00',
               '1998-05-01 00:30:00', '1998-05-01 00:45:00',
               '1998-05-01 01:00:00', '1998-05-01 01:15:00',
               '1998-05-01 01:30:00', '1998-05-01 01:45:00',
               '1998-05-01 02:00:00', '1998-05-01 02:15:00',
               '1998-05-01 02:30:00', '1998-05-01 02:45:00',
               '1998-05-01 03:00:00', '1998-05-01 03:15:00',
               '1998-05-01 03:30:00', '1998-05-01 03:45:00',
               '1998-05-01 04:00:00', '1998-05-01 04:15:00',
               '1998-05-01 04:30:00', '1998-05-01 04:45:00',
               '1998-05-01 05:00:00', '1998-05-01 05:15:00',
               '1998-05-01 05:30:00', '1998-05-01 05:45:00',
               '1998-05-01 06:00:00', '1998-05-01 06:15:00',
               '1998-05-01 06:30:00', '1998-05-01 06:45:00',
               '1998-05-01 07:00:00', '1998-05-01 07:15:00',
               '1998-05-01 07:30:00', '1998-05-01 07:45:00',
               '1998-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-05-01 00:00:00', '1998-05-01 00:15:00',
               '1998-05-01 00:30:00', '1998-05-01 00:45:00',
               '1998-05-01 01:00:00', '1998-05-01 01:15:00',
               '1998-05-01 01:30:00', '1998-05-01 01:45:00',
               '1998-05-01 02:00:00', '1998-05-01 02:15:00',
               '1998-05-01 02:30:00', '1998-05-01 02:45:00',
               '1998-05-01 03:00:00', '1998-05-01 03:15:00',
               '1998-05-01 03:30:00', '1998-05-01 03:45:00',
               '1998-05-01 04:00:00', '1998-05-01 04:15:00',
               '1998-05-01 04:30:00', '1998-05-01 04:45:00',
               '1998-05-01 05:00:00', '1998-05-01 05:15:00',
               '1998-05-01 05:30:00', '1998-05-01 05:45:00',
               '1998-05-01 06:00:00', '1998-05-01 06:15:00',
               '1998-05-01 06:30:00', '1998-05-01 06:45:00',
               '1998-05-01 07:00:00', '1998-05-01 07:15:00',
               '1998-05-01 07:30:00', '1998-05-01 07:45:00',
               '1998-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-05-01 00:00:00', '1998-05-01 00:15:00',
               '1998-05-01 00:30:00', '1998-05-01 00:45:00',
               '1998-05-01 01:00:00', '1998-05-01 01:15:00',
               '1998-05-01 01:30:00', '1998-05-01 01:45:00',
               '1998-05-01 02:00:00', '1998-05-01 02:15:00',
               ...
               '1998-05-31 20:45:00', '1998-05-31 21:00:00',
               '1998-05-31 21:15:00', '1998-05-31 21:30:00',
               '1998-05-31 21:45:00', '1998-05-31 22:00:00',
               '1998-05-31 22:15:00', '1998-05-31 22:30:00',
               '1998-05-31 22:45:00', '1998-05-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-05-01 00:00:00', '1998-05-01 00:15:00',
               '1998-05-01 00:30:00', '1998-05-01 00:45:00',
               '1998-05-01 01:00:00', '1998-05-01 01:15:00',
               '1998-05-01 01:30:00', '1998-05-01 01:45:00',
               '1998-05-01 02:00:00', '1998-05-01 02:15:00',
               '1998-05-01 02:30:00', '1998-05-01 02:45:00',
               '1998-05-01 03:00:00', '1998-05-01 03:15:00',
               '1998-05-01 03:30:00', '1998-05-01 03:45:00',
               '1998-05-01 04:00:00', '1998-05-01 04:15:00',
               '1998-05-01 04:30:00', '1998-05-01 04:45:00',
               '1998-05-01 05:00:00', '1998-05-01 05:15:00',
               '1998-05-01 05:30:00', '1998-05-01 05:45:00',
               '1998-05-01 06:00:00', '1998-05-01 06:15:00',
               '1998-05-01 06:30:00', '1998-05-01 06:45:00',
               '1998-05-01 07:00:00', '1998-05-01 07:15:00',
               '1998-05-01 07:30:00', '1998-05-01 07:45:00',
               '1998-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-5-1T00 to 1998-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-5-1T00 to 1998-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-06-01 00:00:00', '1998-06-01 00:15:00',
               '1998-06-01 00:30:00', '1998-06-01 00:45:00',
               '1998-06-01 01:00:00', '1998-06-01 01:15:00',
               '1998-06-01 01:30:00', '1998-06-01 01:45:00',
               '1998-06-01 02:00:00', '1998-06-01 02:15:00',
               '1998-06-01 02:30:00', '1998-06-01 02:45:00',
               '1998-06-01 03:00:00', '1998-06-01 03:15:00',
               '1998-06-01 03:30:00', '1998-06-01 03:45:00',
               '1998-06-01 04:00:00', '1998-06-01 04:15:00',
               '1998-06-01 04:30:00', '1998-06-01 04:45:00',
               '1998-06-01 05:00:00', '1998-06-01 05:15:00',
               '1998-06-01 05:30:00', '1998-06-01 05:45:00',
               '1998-06-01 06:00:00', '1998-06-01 06:15:00',
               '1998-06-01 06:30:00', '1998-06-01 06:45:00',
               '1998-06-01 07:00:00', '1998-06-01 07:15:00',
               '1998-06-01 07:30:00', '1998-06-01 07:45:00',
               '1998-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-06-01 00:00:00', '1998-06-01 00:15:00',
               '1998-06-01 00:30:00', '1998-06-01 00:45:00',
               '1998-06-01 01:00:00', '1998-06-01 01:15:00',
               '1998-06-01 01:30:00', '1998-06-01 01:45:00',
               '1998-06-01 02:00:00', '1998-06-01 02:15:00',
               '1998-06-01 02:30:00', '1998-06-01 02:45:00',
               '1998-06-01 03:00:00', '1998-06-01 03:15:00',
               '1998-06-01 03:30:00', '1998-06-01 03:45:00',
               '1998-06-01 04:00:00', '1998-06-01 04:15:00',
               '1998-06-01 04:30:00', '1998-06-01 04:45:00',
               '1998-06-01 05:00:00', '1998-06-01 05:15:00',
               '1998-06-01 05:30:00', '1998-06-01 05:45:00',
               '1998-06-01 06:00:00', '1998-06-01 06:15:00',
               '1998-06-01 06:30:00', '1998-06-01 06:45:00',
               '1998-06-01 07:00:00', '1998-06-01 07:15:00',
               '1998-06-01 07:30:00', '1998-06-01 07:45:00',
               '1998-06-01 08:00:00', '1998-06-16 11:15:00',
               '1998-06-16 11:30:00', '1998-06-16 11:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-06-01 00:00:00', '1998-06-01 00:15:00',
               '1998-06-01 00:30:00', '1998-06-01 00:45:00',
               '1998-06-01 01:00:00', '1998-06-01 01:15:00',
               '1998-06-01 01:30:00', '1998-06-01 01:45:00',
               '1998-06-01 02:00:00', '1998-06-01 02:15:00',
               '1998-06-01 02:30:00', '1998-06-01 02:45:00',
               '1998-06-01 03:00:00', '1998-06-01 03:15:00',
               '1998-06-01 03:30:00', '1998-06-01 03:45:00',
               '1998-06-01 04:00:00', '1998-06-01 04:15:00',
               '1998-06-01 04:30:00', '1998-06-01 04:45:00',
               '1998-06-01 05:00:00', '1998-06-01 05:15:00',
               '1998-06-01 05:30:00', '1998-06-01 05:45:00',
               '1998-06-01 06:00:00', '1998-06-01 06:15:00',
               '1998-06-01 06:30:00', '1998-06-01 06:45:00',
               '1998-06-01 07:00:00', '1998-06-01 07:15:00',
               '1998-06-01 07:30:00', '1998-06-01 07:45:00',
               '1998-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-06-01 00:00:00', '1998-06-01 00:15:00',
               '1998-06-01 00:30:00', '1998-06-01 00:45:00',
               '1998-06-01 01:00:00', '1998-06-01 01:15:00',
               '1998-06-01 01:30:00', '1998-06-01 01:45:00',
               '1998-06-01 02:00:00', '1998-06-01 02:15:00',
               '1998-06-01 02:30:00', '1998-06-01 02:45:00',
               '1998-06-01 03:00:00', '1998-06-01 03:15:00',
               '1998-06-01 03:30:00', '1998-06-01 03:45:00',
               '1998-06-01 04:00:00', '1998-06-01 04:15:00',
               '1998-06-01 04:30:00', '1998-06-01 04:45:00',
               '1998-06-01 05:00:00', '1998-06-01 05:15:00',
               '1998-06-01 05:30:00', '1998-06-01 05:45:00',
               '1998-06-01 06:00:00', '1998-06-01 06:15:00',
               '1998-06-01 06:30:00', '1998-06-01 06:45:00',
               '1998-06-01 07:00:00', '1998-06-01 07:15:00',
               '1998-06-01 07:30:00', '1998-06-01 07:45:00',
               '1998-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-06-01 00:00:00', '1998-06-01 00:15:00',
               '1998-06-01 00:30:00', '1998-06-01 00:45:00',
               '1998-06-01 01:00:00', '1998-06-01 01:15:00',
               '1998-06-01 01:30:00', '1998-06-01 01:45:00',
               '1998-06-01 02:00:00', '1998-06-01 02:15:00',
               ...
               '1998-06-30 20:45:00', '1998-06-30 21:00:00',
               '1998-06-30 21:15:00', '1998-06-30 21:30:00',
               '1998-06-30 21:45:00', '1998-06-30 22:00:00',
               '1998-06-30 22:15:00', '1998-06-30 22:30:00',
               '1998-06-30 22:45:00', '1998-06-30 23:00:00'],
              dtype='datetime64[ns]', length=2877, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-06-01 00:00:00', '1998-06-01 00:15:00',
               '1998-06-01 00:30:00', '1998-06-01 00:45:00',
               '1998-06-01 01:00:00', '1998-06-01 01:15:00',
               '1998-06-01 01:30:00', '1998-06-01 01:45:00',
               '1998-06-01 02:00:00', '1998-06-01 02:15:00',
               '1998-06-01 02:30:00', '1998-06-01 02:45:00',
               '1998-06-01 03:00:00', '1998-06-01 03:15:00',
               '1998-06-01 03:30:00', '1998-06-01 03:45:00',
               '1998-06-01 04:00:00', '1998-06-01 04:15:00',
               '1998-06-01 04:30:00', '1998-06-01 04:45:00',
               '1998-06-01 05:00:00', '1998-06-01 05:15:00',
               '1998-06-01 05:30:00', '1998-06-01 05:45:00',
               '1998-06-01 06:00:00', '1998-06-01 06:15:00',
               '1998-06-01 06:30:00', '1998-06-01 06:45:00',
               '1998-06-01 07:00:00', '1998-06-01 07:15:00',
               '1998-06-01 07:30:00', '1998-06-01 07:45:00',
               '1998-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-6-1T00 to 1998-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-6-1T00 to 1998-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-07-01 00:00:00', '1998-07-01 00:15:00',
               '1998-07-01 00:30:00', '1998-07-01 00:45:00',
               '1998-07-01 01:00:00', '1998-07-01 01:15:00',
               '1998-07-01 01:30:00', '1998-07-01 01:45:00',
               '1998-07-01 02:00:00', '1998-07-01 02:15:00',
               '1998-07-01 02:30:00', '1998-07-01 02:45:00',
               '1998-07-01 03:00:00', '1998-07-01 03:15:00',
               '1998-07-01 03:30:00', '1998-07-01 03:45:00',
               '1998-07-01 04:00:00', '1998-07-01 04:15:00',
               '1998-07-01 04:30:00', '1998-07-01 04:45:00',
               '1998-07-01 05:00:00', '1998-07-01 05:15:00',
               '1998-07-01 05:30:00', '1998-07-01 05:45:00',
               '1998-07-01 06:00:00', '1998-07-01 06:15:00',
               '1998-07-01 06:30:00', '1998-07-01 06:45:00',
               '1998-07-01 07:00:00', '1998-07-01 07:15:00',
               '1998-07-01 07:30:00', '1998-07-01 07:45:00',
               '1998-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-07-01 00:00:00', '1998-07-01 00:15:00',
               '1998-07-01 00:30:00', '1998-07-01 00:45:00',
               '1998-07-01 01:00:00', '1998-07-01 01:15:00',
               '1998-07-01 01:30:00', '1998-07-01 01:45:00',
               '1998-07-01 02:00:00', '1998-07-01 02:15:00',
               '1998-07-01 02:30:00', '1998-07-01 02:45:00',
               '1998-07-01 03:00:00', '1998-07-01 03:15:00',
               '1998-07-01 03:30:00', '1998-07-01 03:45:00',
               '1998-07-01 04:00:00', '1998-07-01 04:15:00',
               '1998-07-01 04:30:00', '1998-07-01 04:45:00',
               '1998-07-01 05:00:00', '1998-07-01 05:15:00',
               '1998-07-01 05:30:00', '1998-07-01 05:45:00',
               '1998-07-01 06:00:00', '1998-07-01 06:15:00',
               '1998-07-01 06:30:00', '1998-07-01 06:45:00',
               '1998-07-01 07:00:00', '1998-07-01 07:15:00',
               '1998-07-01 07:30:00', '1998-07-01 07:45:00',
               '1998-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-07-01 00:00:00', '1998-07-01 00:15:00',
               '1998-07-01 00:30:00', '1998-07-01 00:45:00',
               '1998-07-01 01:00:00', '1998-07-01 01:15:00',
               '1998-07-01 01:30:00', '1998-07-01 01:45:00',
               '1998-07-01 02:00:00', '1998-07-01 02:15:00',
               ...
               '1998-07-31 05:45:00', '1998-07-31 06:00:00',
               '1998-07-31 06:15:00', '1998-07-31 06:30:00',
               '1998-07-31 06:45:00', '1998-07-31 07:00:00',
               '1998-07-31 07:15:00', '1998-07-31 07:30:00',
               '1998-07-31 07:45:00', '1998-07-31 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-07-01 00:00:00', '1998-07-01 00:15:00',
               '1998-07-01 00:30:00', '1998-07-01 00:45:00',
               '1998-07-01 01:00:00', '1998-07-01 01:15:00',
               '1998-07-01 01:30:00', '1998-07-01 01:45:00',
               '1998-07-01 02:00:00', '1998-07-01 02:15:00',
               '1998-07-01 02:30:00', '1998-07-01 02:45:00',
               '1998-07-01 03:00:00', '1998-07-01 03:15:00',
               '1998-07-01 03:30:00', '1998-07-01 03:45:00',
               '1998-07-01 04:00:00', '1998-07-01 04:15:00',
               '1998-07-01 04:30:00', '1998-07-01 04:45:00',
               '1998-07-01 05:00:00', '1998-07-01 05:15:00',
               '1998-07-01 05:30:00', '1998-07-01 05:45:00',
               '1998-07-01 06:00:00', '1998-07-01 06:15:00',
               '1998-07-01 06:30:00', '1998-07-01 06:45:00',
               '1998-07-01 07:00:00', '1998-07-01 07:15:00',
               '1998-07-01 07:30:00', '1998-07-01 07:45:00',
               '1998-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-07-01 00:00:00', '1998-07-01 00:15:00',
               '1998-07-01 00:30:00', '1998-07-01 00:45:00',
               '1998-07-01 01:00:00', '1998-07-01 01:15:00',
               '1998-07-01 01:30:00', '1998-07-01 01:45:00',
               '1998-07-01 02:00:00', '1998-07-01 02:15:00',
               ...
               '1998-07-31 20:45:00', '1998-07-31 21:00:00',
               '1998-07-31 21:15:00', '1998-07-31 21:30:00',
               '1998-07-31 21:45:00', '1998-07-31 22:00:00',
               '1998-07-31 22:15:00', '1998-07-31 22:30:00',
               '1998-07-31 22:45:00', '1998-07-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-07-01 00:00:00', '1998-07-01 00:15:00',
               '1998-07-01 00:30:00', '1998-07-01 00:45:00',
               '1998-07-01 01:00:00', '1998-07-01 01:15:00',
               '1998-07-01 01:30:00', '1998-07-01 01:45:00',
               '1998-07-01 02:00:00', '1998-07-01 02:15:00',
               '1998-07-01 02:30:00', '1998-07-01 02:45:00',
               '1998-07-01 03:00:00', '1998-07-01 03:15:00',
               '1998-07-01 03:30:00', '1998-07-01 03:45:00',
               '1998-07-01 04:00:00', '1998-07-01 04:15:00',
               '1998-07-01 04:30:00', '1998-07-01 04:45:00',
               '1998-07-01 05:00:00', '1998-07-01 05:15:00',
               '1998-07-01 05:30:00', '1998-07-01 05:45:00',
               '1998-07-01 06:00:00', '1998-07-01 06:15:00',
               '1998-07-01 06:30:00', '1998-07-01 06:45:00',
               '1998-07-01 07:00:00', '1998-07-01 07:15:00',
               '1998-07-01 07:30:00', '1998-07-01 07:45:00',
               '1998-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-7-1T00 to 1998-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-7-1T00 to 1998-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-08-01 00:00:00', '1998-08-01 00:15:00',
               '1998-08-01 00:30:00', '1998-08-01 00:45:00',
               '1998-08-01 01:00:00', '1998-08-01 01:15:00',
               '1998-08-01 01:30:00', '1998-08-01 01:45:00',
               '1998-08-01 02:00:00', '1998-08-01 02:15:00',
               '1998-08-01 02:30:00', '1998-08-01 02:45:00',
               '1998-08-01 03:00:00', '1998-08-01 03:15:00',
               '1998-08-01 03:30:00', '1998-08-01 03:45:00',
               '1998-08-01 04:00:00', '1998-08-01 04:15:00',
               '1998-08-01 04:30:00', '1998-08-01 04:45:00',
               '1998-08-01 05:00:00', '1998-08-01 05:15:00',
               '1998-08-01 05:30:00', '1998-08-01 05:45:00',
               '1998-08-01 06:00:00', '1998-08-01 06:15:00',
               '1998-08-01 06:30:00', '1998-08-01 06:45:00',
               '1998-08-01 07:00:00', '1998-08-01 07:15:00',
               '1998-08-01 07:30:00', '1998-08-01 07:45:00',
               '1998-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-08-01 00:00:00', '1998-08-01 00:15:00',
               '1998-08-01 00:30:00', '1998-08-01 00:45:00',
               '1998-08-01 01:00:00', '1998-08-01 01:15:00',
               '1998-08-01 01:30:00', '1998-08-01 01:45:00',
               '1998-08-01 02:00:00', '1998-08-01 02:15:00',
               '1998-08-01 02:30:00', '1998-08-01 02:45:00',
               '1998-08-01 03:00:00', '1998-08-01 03:15:00',
               '1998-08-01 03:30:00', '1998-08-01 03:45:00',
               '1998-08-01 04:00:00', '1998-08-01 04:15:00',
               '1998-08-01 04:30:00', '1998-08-01 04:45:00',
               '1998-08-01 05:00:00', '1998-08-01 05:15:00',
               '1998-08-01 05:30:00', '1998-08-01 05:45:00',
               '1998-08-01 06:00:00', '1998-08-01 06:15:00',
               '1998-08-01 06:30:00', '1998-08-01 06:45:00',
               '1998-08-01 07:00:00', '1998-08-01 07:15:00',
               '1998-08-01 07:30:00', '1998-08-01 07:45:00',
               '1998-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-08-01 00:00:00', '1998-08-01 00:15:00',
               '1998-08-01 00:30:00', '1998-08-01 00:45:00',
               '1998-08-01 01:00:00', '1998-08-01 01:15:00',
               '1998-08-01 01:30:00', '1998-08-01 01:45:00',
               '1998-08-01 02:00:00', '1998-08-01 02:15:00',
               '1998-08-01 02:30:00', '1998-08-01 02:45:00',
               '1998-08-01 03:00:00', '1998-08-01 03:15:00',
               '1998-08-01 03:30:00', '1998-08-01 03:45:00',
               '1998-08-01 04:00:00', '1998-08-01 04:15:00',
               '1998-08-01 04:30:00', '1998-08-01 04:45:00',
               '1998-08-01 05:00:00', '1998-08-01 05:15:00',
               '1998-08-01 05:30:00', '1998-08-01 05:45:00',
               '1998-08-01 06:00:00', '1998-08-01 06:15:00',
               '1998-08-01 06:30:00', '1998-08-01 06:45:00',
               '1998-08-01 07:00:00', '1998-08-01 07:15:00',
               '1998-08-01 07:30:00', '1998-08-01 07:45:00',
               '1998-08-01 08:00:00', '1998-08-19 19:30:00',
               '1998-08-19 19:45:00', '1998-08-19 20:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-08-01 00:00:00', '1998-08-01 00:15:00',
               '1998-08-01 00:30:00', '1998-08-01 00:45:00',
               '1998-08-01 01:00:00', '1998-08-01 01:15:00',
               '1998-08-01 01:30:00', '1998-08-01 01:45:00',
               '1998-08-01 02:00:00', '1998-08-01 02:15:00',
               ...
               '1998-08-15 05:45:00', '1998-08-15 06:00:00',
               '1998-08-15 06:15:00', '1998-08-15 06:30:00',
               '1998-08-15 06:45:00', '1998-08-15 07:00:00',
               '1998-08-15 07:15:00', '1998-08-15 07:30:00',
               '1998-08-15 07:45:00', '1998-08-15 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-08-01 00:00:00', '1998-08-01 00:15:00',
               '1998-08-01 00:30:00', '1998-08-01 00:45:00',
               '1998-08-01 01:00:00', '1998-08-01 01:15:00',
               '1998-08-01 01:30:00', '1998-08-01 01:45:00',
               '1998-08-01 02:00:00', '1998-08-01 02:15:00',
               ...
               '1998-08-31 20:45:00', '1998-08-31 21:00:00',
               '1998-08-31 21:15:00', '1998-08-31 21:30:00',
               '1998-08-31 21:45:00', '1998-08-31 22:00:00',
               '1998-08-31 22:15:00', '1998-08-31 22:30:00',
               '1998-08-31 22:45:00', '1998-08-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-08-01 00:00:00', '1998-08-01 00:15:00',
               '1998-08-01 00:30:00', '1998-08-01 00:45:00',
               '1998-08-01 01:00:00', '1998-08-01 01:15:00',
               '1998-08-01 01:30:00', '1998-08-01 01:45:00',
               '1998-08-01 02:00:00', '1998-08-01 02:15:00',
               '1998-08-01 02:30:00', '1998-08-01 02:45:00',
               '1998-08-01 03:00:00', '1998-08-01 03:15:00',
               '1998-08-01 03:30:00', '1998-08-01 03:45:00',
               '1998-08-01 04:00:00', '1998-08-01 04:15:00',
               '1998-08-01 04:30:00', '1998-08-01 04:45:00',
               '1998-08-01 05:00:00', '1998-08-01 05:15:00',
               '1998-08-01 05:30:00', '1998-08-01 05:45:00',
               '1998-08-01 06:00:00', '1998-08-01 06:15:00',
               '1998-08-01 06:30:00', '1998-08-01 06:45:00',
               '1998-08-01 07:00:00', '1998-08-01 07:15:00',
               '1998-08-01 07:30:00', '1998-08-01 07:45:00',
               '1998-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-8-1T00 to 1998-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-8-1T00 to 1998-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-09-01 00:00:00', '1998-09-01 00:15:00',
               '1998-09-01 00:30:00', '1998-09-01 00:45:00',
               '1998-09-01 01:00:00', '1998-09-01 01:15:00',
               '1998-09-01 01:30:00', '1998-09-01 01:45:00',
               '1998-09-01 02:00:00', '1998-09-01 02:15:00',
               '1998-09-01 02:30:00', '1998-09-01 02:45:00',
               '1998-09-01 03:00:00', '1998-09-01 03:15:00',
               '1998-09-01 03:30:00', '1998-09-01 03:45:00',
               '1998-09-01 04:00:00', '1998-09-01 04:15:00',
               '1998-09-01 04:30:00', '1998-09-01 04:45:00',
               '1998-09-01 05:00:00', '1998-09-01 05:15:00',
               '1998-09-01 05:30:00', '1998-09-01 05:45:00',
               '1998-09-01 06:00:00', '1998-09-01 06:15:00',
               '1998-09-01 06:30:00', '1998-09-01 06:45:00',
               '1998-09-01 07:00:00', '1998-09-01 07:15:00',
               '1998-09-01 07:30:00', '1998-09-01 07:45:00',
               '1998-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-09-01 00:00:00', '1998-09-01 00:15:00',
               '1998-09-01 00:30:00', '1998-09-01 00:45:00',
               '1998-09-01 01:00:00', '1998-09-01 01:15:00',
               '1998-09-01 01:30:00', '1998-09-01 01:45:00',
               '1998-09-01 02:00:00', '1998-09-01 02:15:00',
               '1998-09-01 02:30:00', '1998-09-01 02:45:00',
               '1998-09-01 03:00:00', '1998-09-01 03:15:00',
               '1998-09-01 03:30:00', '1998-09-01 03:45:00',
               '1998-09-01 04:00:00', '1998-09-01 04:15:00',
               '1998-09-01 04:30:00', '1998-09-01 04:45:00',
               '1998-09-01 05:00:00', '1998-09-01 05:15:00',
               '1998-09-01 05:30:00', '1998-09-01 05:45:00',
               '1998-09-01 06:00:00', '1998-09-01 06:15:00',
               '1998-09-01 06:30:00', '1998-09-01 06:45:00',
               '1998-09-01 07:00:00', '1998-09-01 07:15:00',
               '1998-09-01 07:30:00', '1998-09-01 07:45:00',
               '1998-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-09-01 00:00:00', '1998-09-01 00:15:00',
               '1998-09-01 00:30:00', '1998-09-01 00:45:00',
               '1998-09-01 01:00:00', '1998-09-01 01:15:00',
               '1998-09-01 01:30:00', '1998-09-01 01:45:00',
               '1998-09-01 02:00:00', '1998-09-01 02:15:00',
               '1998-09-01 02:30:00', '1998-09-01 02:45:00',
               '1998-09-01 03:00:00', '1998-09-01 03:15:00',
               '1998-09-01 03:30:00', '1998-09-01 03:45:00',
               '1998-09-01 04:00:00', '1998-09-01 04:15:00',
               '1998-09-01 04:30:00', '1998-09-01 04:45:00',
               '1998-09-01 05:00:00', '1998-09-01 05:15:00',
               '1998-09-01 05:30:00', '1998-09-01 05:45:00',
               '1998-09-01 06:00:00', '1998-09-01 06:15:00',
               '1998-09-01 06:30:00', '1998-09-01 06:45:00',
               '1998-09-01 07:00:00', '1998-09-01 07:15:00',
               '1998-09-01 07:30:00', '1998-09-01 07:45:00',
               '1998-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-09-01 00:00:00', '1998-09-01 00:15:00',
               '1998-09-01 00:30:00', '1998-09-01 00:45:00',
               '1998-09-01 01:00:00', '1998-09-01 01:15:00',
               '1998-09-01 01:30:00', '1998-09-01 01:45:00',
               '1998-09-01 02:00:00', '1998-09-01 02:15:00',
               '1998-09-01 02:30:00', '1998-09-01 02:45:00',
               '1998-09-01 03:00:00', '1998-09-01 03:15:00',
               '1998-09-01 03:30:00', '1998-09-01 03:45:00',
               '1998-09-01 04:00:00', '1998-09-01 04:15:00',
               '1998-09-01 04:30:00', '1998-09-01 04:45:00',
               '1998-09-01 05:00:00', '1998-09-01 05:15:00',
               '1998-09-01 05:30:00', '1998-09-01 05:45:00',
               '1998-09-01 06:00:00', '1998-09-01 06:15:00',
               '1998-09-01 06:30:00', '1998-09-01 06:45:00',
               '1998-09-01 07:00:00', '1998-09-01 07:15:00',
               '1998-09-01 07:30:00', '1998-09-01 07:45:00',
               '1998-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-09-01 00:00:00', '1998-09-01 00:15:00',
               '1998-09-01 00:30:00', '1998-09-01 00:45:00',
               '1998-09-01 01:00:00', '1998-09-01 01:15:00',
               '1998-09-01 01:30:00', '1998-09-01 01:45:00',
               '1998-09-01 02:00:00', '1998-09-01 02:15:00',
               ...
               '1998-09-29 13:30:00', '1998-09-29 15:00:00',
               '1998-09-29 15:15:00', '1998-09-29 15:30:00',
               '1998-09-30 08:30:00', '1998-09-30 08:45:00',
               '1998-09-30 09:00:00', '1998-09-30 19:15:00',
               '1998-09-30 19:30:00', '1998-09-30 19:45:00'],
              dtype='datetime64[ns]', length=768, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-09-01 00:00:00', '1998-09-01 00:15:00',
               '1998-09-01 00:30:00', '1998-09-01 00:45:00',
               '1998-09-01 01:00:00', '1998-09-01 01:15:00',
               '1998-09-01 01:30:00', '1998-09-01 01:45:00',
               '1998-09-01 02:00:00', '1998-09-01 02:15:00',
               '1998-09-01 02:30:00', '1998-09-01 02:45:00',
               '1998-09-01 03:00:00', '1998-09-01 03:15:00',
               '1998-09-01 03:30:00', '1998-09-01 03:45:00',
               '1998-09-01 04:00:00', '1998-09-01 04:15:00',
               '1998-09-01 04:30:00', '1998-09-01 04:45:00',
               '1998-09-01 05:00:00', '1998-09-01 05:15:00',
               '1998-09-01 05:30:00', '1998-09-01 05:45:00',
               '1998-09-01 06:00:00', '1998-09-01 06:15:00',
               '1998-09-01 06:30:00', '1998-09-01 06:45:00',
               '1998-09-01 07:00:00', '1998-09-01 07:15:00',
               '1998-09-01 07:30:00', '1998-09-01 07:45:00',
               '1998-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-9-1T00 to 1998-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-9-1T00 to 1998-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-10-01 00:00:00', '1998-10-01 00:15:00',
               '1998-10-01 00:30:00', '1998-10-01 00:45:00',
               '1998-10-01 01:00:00', '1998-10-01 01:15:00',
               '1998-10-01 01:30:00', '1998-10-01 01:45:00',
               '1998-10-01 02:00:00', '1998-10-01 02:15:00',
               '1998-10-01 02:30:00', '1998-10-01 02:45:00',
               '1998-10-01 03:00:00', '1998-10-01 03:15:00',
               '1998-10-01 03:30:00', '1998-10-01 03:45:00',
               '1998-10-01 04:00:00', '1998-10-01 04:15:00',
               '1998-10-01 04:30:00', '1998-10-01 04:45:00',
               '1998-10-01 05:00:00', '1998-10-01 05:15:00',
               '1998-10-01 05:30:00', '1998-10-01 05:45:00',
               '1998-10-01 06:00:00', '1998-10-01 06:15:00',
               '1998-10-01 06:30:00', '1998-10-01 06:45:00',
               '1998-10-01 07:00:00', '1998-10-01 07:15:00',
               '1998-10-01 07:30:00', '1998-10-01 07:45:00',
               '1998-10-01 08:00:00', '1998-10-25 08:45:00',
               '1998-10-25 09:00:00', '1998-10-25 09:15:00',
               '1998-10-25 09:30:00', '1998-10-25 09:45:00',
               '1998-10-25 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-10-01 00:00:00', '1998-10-01 00:15:00',
               '1998-10-01 00:30:00', '1998-10-01 00:45:00',
               '1998-10-01 01:00:00', '1998-10-01 01:15:00',
               '1998-10-01 01:30:00', '1998-10-01 01:45:00',
               '1998-10-01 02:00:00', '1998-10-01 02:15:00',
               '1998-10-01 02:30:00', '1998-10-01 02:45:00',
               '1998-10-01 03:00:00', '1998-10-01 03:15:00',
               '1998-10-01 03:30:00', '1998-10-01 03:45:00',
               '1998-10-01 04:00:00', '1998-10-01 04:15:00',
               '1998-10-01 04:30:00', '1998-10-01 04:45:00',
               '1998-10-01 05:00:00', '1998-10-01 05:15:00',
               '1998-10-01 05:30:00', '1998-10-01 05:45:00',
               '1998-10-01 06:00:00', '1998-10-01 06:15:00',
               '1998-10-01 06:30:00', '1998-10-01 06:45:00',
               '1998-10-01 07:00:00', '1998-10-01 07:15:00',
               '1998-10-01 07:30:00', '1998-10-01 07:45:00',
               '1998-10-01 08:00:00', '1998-10-25 08:45:00',
               '1998-10-25 09:00:00', '1998-10-25 09:15:00',
               '1998-10-25 09:30:00', '1998-10-25 09:45:00',
               '1998-10-25 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-10-01 00:00:00', '1998-10-01 00:15:00',
               '1998-10-01 00:30:00', '1998-10-01 00:45:00',
               '1998-10-01 01:00:00', '1998-10-01 01:15:00',
               '1998-10-01 01:30:00', '1998-10-01 01:45:00',
               '1998-10-01 02:00:00', '1998-10-01 02:15:00',
               '1998-10-01 02:30:00', '1998-10-01 02:45:00',
               '1998-10-01 03:00:00', '1998-10-01 03:15:00',
               '1998-10-01 03:30:00', '1998-10-01 03:45:00',
               '1998-10-01 04:00:00', '1998-10-01 04:15:00',
               '1998-10-01 04:30:00', '1998-10-01 04:45:00',
               '1998-10-01 05:00:00', '1998-10-01 05:15:00',
               '1998-10-01 05:30:00', '1998-10-01 05:45:00',
               '1998-10-01 06:00:00', '1998-10-01 06:15:00',
               '1998-10-01 06:30:00', '1998-10-01 06:45:00',
               '1998-10-01 07:00:00', '1998-10-01 07:15:00',
               '1998-10-01 07:30:00', '1998-10-01 07:45:00',
               '1998-10-01 08:00:00', '1998-10-01 08:15:00',
               '1998-10-25 08:45:00', '1998-10-25 09:00:00',
               '1998-10-25 09:15:00', '1998-10-25 09:30:00',
               '1998-10-25 09:45:00', '1998-10-25 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-10-01 00:00:00', '1998-10-01 00:15:00',
               '1998-10-01 00:30:00', '1998-10-01 00:45:00',
               '1998-10-01 01:00:00', '1998-10-01 01:15:00',
               '1998-10-01 01:30:00', '1998-10-01 01:45:00',
               '1998-10-01 02:00:00', '1998-10-01 02:15:00',
               '1998-10-01 02:30:00', '1998-10-01 02:45:00',
               '1998-10-01 03:00:00', '1998-10-01 03:15:00',
               '1998-10-01 03:30:00', '1998-10-01 03:45:00',
               '1998-10-01 04:00:00', '1998-10-01 04:15:00',
               '1998-10-01 04:30:00', '1998-10-01 04:45:00',
               '1998-10-01 05:00:00', '1998-10-01 05:15:00',
               '1998-10-01 05:30:00', '1998-10-01 05:45:00',
               '1998-10-01 06:00:00', '1998-10-01 06:15:00',
               '1998-10-01 06:30:00', '1998-10-01 06:45:00',
               '1998-10-01 07:00:00', '1998-10-01 07:15:00',
               '1998-10-01 07:30:00', '1998-10-01 07:45:00',
               '1998-10-01 08:00:00', '1998-10-25 08:45:00',
               '1998-10-25 09:00:00', '1998-10-25 09:15:00',
               '1998-10-25 09:30:00', '1998-10-25 09:45:00',
               '1998-10-25 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-10-01 00:00:00', '1998-10-01 00:15:00',
               '1998-10-01 00:30:00', '1998-10-01 00:45:00',
               '1998-10-01 01:00:00', '1998-10-01 01:15:00',
               '1998-10-01 01:30:00', '1998-10-01 01:45:00',
               '1998-10-01 02:00:00', '1998-10-01 02:15:00',
               ...
               '1998-10-30 11:30:00', '1998-10-31 04:45:00',
               '1998-10-31 05:00:00', '1998-10-31 05:15:00',
               '1998-10-31 18:30:00', '1998-10-31 18:45:00',
               '1998-10-31 19:00:00', '1998-10-31 20:30:00',
               '1998-10-31 20:45:00', '1998-10-31 21:00:00'],
              dtype='datetime64[ns]', length=727, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-10-01 00:00:00', '1998-10-01 00:15:00',
               '1998-10-01 00:30:00', '1998-10-01 00:45:00',
               '1998-10-01 01:00:00', '1998-10-01 01:15:00',
               '1998-10-01 01:30:00', '1998-10-01 01:45:00',
               '1998-10-01 02:00:00', '1998-10-01 02:15:00',
               '1998-10-01 02:30:00', '1998-10-01 02:45:00',
               '1998-10-01 03:00:00', '1998-10-01 03:15:00',
               '1998-10-01 03:30:00', '1998-10-01 03:45:00',
               '1998-10-01 04:00:00', '1998-10-01 04:15:00',
               '1998-10-01 04:30:00', '1998-10-01 04:45:00',
               '1998-10-01 05:00:00', '1998-10-01 05:15:00',
               '1998-10-01 05:30:00', '1998-10-01 05:45:00',
               '1998-10-01 06:00:00', '1998-10-01 06:15:00',
               '1998-10-01 06:30:00', '1998-10-01 06:45:00',
               '1998-10-01 07:00:00', '1998-10-01 07:15:00',
               '1998-10-01 07:30:00', '1998-10-01 07:45:00',
               '1998-10-01 08:00:00', '1998-10-25 08:45:00',
               '1998-10-25 09:00:00', '1998-10-25 09:15:00',
               '1998-10-25 09:30:00', '1998-10-25 09:45:00',
               '1998-10-25 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-10-01 00:00:00', '1998-10-01 00:15:00',
               '1998-10-01 00:30:00', '1998-10-01 00:45:00',
               '1998-10-01 01:00:00', '1998-10-01 01:15:00',
               '1998-10-01 01:30:00', '1998-10-01 01:45:00',
               '1998-10-01 02:00:00', '1998-10-01 02:15:00',
               ...
               '1998-10-09 07:15:00', '1998-10-09 07:30:00',
               '1998-10-09 07:45:00', '1998-10-09 08:00:00',
               '1998-10-25 08:45:00', '1998-10-25 09:00:00',
               '1998-10-25 09:15:00', '1998-10-25 09:30:00',
               '1998-10-25 09:45:00', '1998-10-25 10:00:00'],
              dtype='datetime64[ns]', length=233, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-10-1T00 to 1998-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-10-1T00 to 1998-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-11-14 09:00:00', '1998-11-14 09:15:00',
               '1998-11-14 09:30:00', '1998-11-14 09:45:00',
               '1998-11-14 10:00:00', '1998-11-14 10:15:00',
               '1998-11-14 10:30:00', '1998-11-14 10:45:00',
               '1998-11-14 11:00:00', '1998-11-14 11:15:00',
               ...
               '1998-11-30 20:45:00', '1998-11-30 21:00:00',
               '1998-11-30 21:15:00', '1998-11-30 21:30:00',
               '1998-11-30 21:45:00', '1998-11-30 22:00:00',
               '1998-11-30 22:15:00', '1998-11-30 22:30:00',
               '1998-11-30 22:45:00', '1998-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-11-01 00:00:00', '1998-11-01 00:15:00',
               '1998-11-01 00:30:00', '1998-11-01 00:45:00',
               '1998-11-01 01:00:00', '1998-11-01 01:15:00',
               '1998-11-01 01:30:00', '1998-11-01 01:45:00',
               '1998-11-01 02:00:00', '1998-11-01 02:15:00',
               ...
               '1998-11-12 06:45:00', '1998-11-12 07:00:00',
               '1998-11-12 07:15:00', '1998-11-12 07:30:00',
               '1998-11-12 07:45:00', '1998-11-12 08:00:00',
               '1998-11-12 08:15:00', '1998-11-12 08:30:00',
               '1998-11-12 08:45:00', '1998-11-12 09:00:00'],
              dtype='datetime64[ns]', length=425, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-11-08 09:00:00', '1998-11-08 09:15:00',
               '1998-11-08 09:30:00', '1998-11-08 09:45:00',
               '1998-11-08 10:00:00', '1998-11-08 10:15:00',
               '1998-11-08 10:30:00', '1998-11-08 10:45:00',
               '1998-11-08 11:00:00', '1998-11-08 11:15:00',
               ...
               '1998-11-30 20:45:00', '1998-11-30 21:00:00',
               '1998-11-30 21:15:00', '1998-11-30 21:30:00',
               '1998-11-30 21:45:00', '1998-11-30 22:00:00',
               '1998-11-30 22:15:00', '1998-11-30 22:30:00',
               '1998-11-30 22:45:00', '1998-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2169, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-11-01 00:00:00', '1998-11-01 00:15:00',
               '1998-11-01 00:30:00', '1998-11-01 00:45:00',
               '1998-11-01 01:00:00', '1998-11-01 01:15:00',
               '1998-11-01 01:30:00', '1998-11-01 01:45:00',
               '1998-11-01 02:00:00', '1998-11-01 02:15:00',
               '1998-11-01 02:30:00', '1998-11-01 02:45:00',
               '1998-11-01 03:00:00', '1998-11-01 03:15:00',
               '1998-11-01 03:30:00', '1998-11-01 03:45:00',
               '1998-11-01 04:00:00', '1998-11-01 04:15:00',
               '1998-11-01 04:30:00', '1998-11-01 04:45:00',
               '1998-11-01 05:00:00', '1998-11-01 05:15:00',
               '1998-11-01 05:30:00', '1998-11-01 05:45:00',
               '1998-11-01 06:00:00', '1998-11-01 06:15:00',
               '1998-11-01 06:30:00', '1998-11-01 06:45:00',
               '1998-11-01 07:00:00', '1998-11-01 07:15:00',
               '1998-11-01 07:30:00', '1998-11-01 07:45:00',
               '1998-11-01 08:00:00', '1998-11-01 08:15:00',
               '1998-11-01 08:30:00', '1998-11-01 08:45:00',
               '1998-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-11-01 00:00:00', '1998-11-01 00:15:00',
               '1998-11-01 00:30:00', '1998-11-01 00:45:00',
               '1998-11-01 01:00:00', '1998-11-01 01:15:00',
               '1998-11-01 01:30:00', '1998-11-01 01:45:00',
               '1998-11-01 02:00:00', '1998-11-01 02:15:00',
               ...
               '1998-11-30 20:45:00', '1998-11-30 21:00:00',
               '1998-11-30 21:15:00', '1998-11-30 21:30:00',
               '1998-11-30 21:45:00', '1998-11-30 22:00:00',
               '1998-11-30 22:15:00', '1998-11-30 22:30:00',
               '1998-11-30 22:45:00', '1998-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1923, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-11-01 00:00:00', '1998-11-01 00:15:00',
               '1998-11-01 00:30:00', '1998-11-01 00:45:00',
               '1998-11-01 01:00:00', '1998-11-01 01:15:00',
               '1998-11-01 01:30:00', '1998-11-01 01:45:00',
               '1998-11-01 02:00:00', '1998-11-01 02:15:00',
               '1998-11-01 02:30:00', '1998-11-01 02:45:00',
               '1998-11-01 03:00:00', '1998-11-01 03:15:00',
               '1998-11-01 03:30:00', '1998-11-01 03:45:00',
               '1998-11-01 04:00:00', '1998-11-01 04:15:00',
               '1998-11-01 04:30:00', '1998-11-01 04:45:00',
               '1998-11-01 05:00:00', '1998-11-01 05:15:00',
               '1998-11-01 05:30:00', '1998-11-01 05:45:00',
               '1998-11-01 06:00:00', '1998-11-01 06:15:00',
               '1998-11-01 06:30:00', '1998-11-01 06:45:00',
               '1998-11-01 07:00:00', '1998-11-01 07:15:00',
               '1998-11-01 07:30:00', '1998-11-01 07:45:00',
               '1998-11-01 08:00:00', '1998-11-01 08:15:00',
               '1998-11-01 08:30:00', '1998-11-01 08:45:00',
               '1998-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-11-01 00:00:00', '1998-11-01 00:15:00',
               '1998-11-01 00:30:00', '1998-11-01 00:45:00',
               '1998-11-01 01:00:00', '1998-11-01 01:15:00',
               '1998-11-01 01:30:00', '1998-11-01 01:45:00',
               '1998-11-01 02:00:00', '1998-11-01 02:15:00',
               ...
               '1998-11-30 20:45:00', '1998-11-30 21:00:00',
               '1998-11-30 21:15:00', '1998-11-30 21:30:00',
               '1998-11-30 21:45:00', '1998-11-30 22:00:00',
               '1998-11-30 22:15:00', '1998-11-30 22:30:00',
               '1998-11-30 22:45:00', '1998-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1355, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-11-01 00:00:00', '1998-11-01 00:15:00',
               '1998-11-01 00:30:00', '1998-11-01 00:45:00',
               '1998-11-01 01:00:00', '1998-11-01 01:15:00',
               '1998-11-01 01:30:00', '1998-11-01 01:45:00',
               '1998-11-01 02:00:00', '1998-11-01 02:15:00',
               ...
               '1998-11-30 20:45:00', '1998-11-30 21:00:00',
               '1998-11-30 21:15:00', '1998-11-30 21:30:00',
               '1998-11-30 21:45:00', '1998-11-30 22:00:00',
               '1998-11-30 22:15:00', '1998-11-30 22:30:00',
               '1998-11-30 22:45:00', '1998-11-30 23:00:00'],
              dtype='datetime64[ns]', length=673, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-11-01 00:00:00', '1998-11-01 00:15:00',
               '1998-11-01 00:30:00', '1998-11-01 00:45:00',
               '1998-11-01 01:00:00', '1998-11-01 01:15:00',
               '1998-11-01 01:30:00', '1998-11-01 01:45:00',
               '1998-11-01 02:00:00', '1998-11-01 02:15:00',
               ...
               '1998-11-30 20:45:00', '1998-11-30 21:00:00',
               '1998-11-30 21:15:00', '1998-11-30 21:30:00',
               '1998-11-30 21:45:00', '1998-11-30 22:00:00',
               '1998-11-30 22:15:00', '1998-11-30 22:30:00',
               '1998-11-30 22:45:00', '1998-11-30 23:00:00'],
              dtype='datetime64[ns]', length=383, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-11-1T00 to 1998-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-11-1T00 to 1998-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-12-04 09:00:00', '1998-12-04 09:15:00',
               '1998-12-04 09:30:00', '1998-12-04 09:45:00',
               '1998-12-04 10:00:00', '1998-12-04 10:15:00',
               '1998-12-04 10:30:00', '1998-12-04 10:45:00',
               '1998-12-04 11:00:00', '1998-12-04 11:15:00',
               ...
               '1998-12-31 20:45:00', '1998-12-31 21:00:00',
               '1998-12-31 21:15:00', '1998-12-31 21:30:00',
               '1998-12-31 21:45:00', '1998-12-31 22:00:00',
               '1998-12-31 22:15:00', '1998-12-31 22:30:00',
               '1998-12-31 22:45:00', '1998-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2649, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-12-01 00:00:00', '1998-12-01 00:15:00',
               '1998-12-01 00:30:00', '1998-12-01 00:45:00',
               '1998-12-01 01:00:00', '1998-12-01 01:15:00',
               '1998-12-01 01:30:00', '1998-12-01 01:45:00',
               '1998-12-01 02:00:00', '1998-12-01 02:15:00',
               '1998-12-01 02:30:00', '1998-12-01 02:45:00',
               '1998-12-01 03:00:00', '1998-12-01 03:15:00',
               '1998-12-01 03:30:00', '1998-12-01 03:45:00',
               '1998-12-01 04:00:00', '1998-12-01 04:15:00',
               '1998-12-01 04:30:00', '1998-12-01 04:45:00',
               '1998-12-01 05:00:00', '1998-12-01 05:15:00',
               '1998-12-01 05:30:00', '1998-12-01 05:45:00',
               '1998-12-01 06:00:00', '1998-12-01 06:15:00',
               '1998-12-01 06:30:00', '1998-12-01 06:45:00',
               '1998-12-01 07:00:00', '1998-12-01 07:15:00',
               '1998-12-01 07:30:00', '1998-12-01 07:45:00',
               '1998-12-01 08:00:00', '1998-12-01 08:15:00',
               '1998-12-01 08:30:00', '1998-12-01 08:45:00',
               '1998-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-12-01 00:00:00', '1998-12-01 00:15:00',
               '1998-12-01 00:30:00', '1998-12-01 00:45:00',
               '1998-12-01 01:00:00', '1998-12-01 01:15:00',
               '1998-12-01 01:30:00', '1998-12-01 01:45:00',
               '1998-12-01 02:00:00', '1998-12-01 02:15:00',
               '1998-12-01 02:30:00', '1998-12-01 02:45:00',
               '1998-12-01 03:00:00', '1998-12-01 03:15:00',
               '1998-12-01 03:30:00', '1998-12-01 03:45:00',
               '1998-12-01 04:00:00', '1998-12-01 04:15:00',
               '1998-12-01 04:30:00', '1998-12-01 04:45:00',
               '1998-12-01 05:00:00', '1998-12-01 05:15:00',
               '1998-12-01 05:30:00', '1998-12-01 05:45:00',
               '1998-12-01 06:00:00', '1998-12-01 06:15:00',
               '1998-12-01 06:30:00', '1998-12-01 06:45:00',
               '1998-12-01 07:00:00', '1998-12-01 07:15:00',
               '1998-12-01 07:30:00', '1998-12-01 07:45:00',
               '1998-12-01 08:00:00', '1998-12-01 08:15:00',
               '1998-12-01 08:30:00', '1998-12-01 08:45:00',
               '1998-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-12-01 00:00:00', '1998-12-01 00:15:00',
               '1998-12-01 00:30:00', '1998-12-01 00:45:00',
               '1998-12-01 01:00:00', '1998-12-01 01:15:00',
               '1998-12-01 01:30:00', '1998-12-01 01:45:00',
               '1998-12-01 02:00:00', '1998-12-01 02:15:00',
               ...
               '1998-12-31 20:45:00', '1998-12-31 21:00:00',
               '1998-12-31 21:15:00', '1998-12-31 21:30:00',
               '1998-12-31 21:45:00', '1998-12-31 22:00:00',
               '1998-12-31 22:15:00', '1998-12-31 22:30:00',
               '1998-12-31 22:45:00', '1998-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2877, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-12-21 12:15:00', '1998-12-21 12:30:00',
               '1998-12-21 12:45:00', '1998-12-21 22:30:00',
               '1998-12-21 22:45:00', '1998-12-21 23:00:00',
               '1998-12-22 01:00:00', '1998-12-22 01:15:00',
               '1998-12-22 01:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1998-12-03 09:00:00', '1998-12-03 09:15:00',
               '1998-12-03 09:30:00', '1998-12-03 09:45:00',
               '1998-12-03 10:00:00', '1998-12-03 10:15:00',
               '1998-12-03 10:30:00', '1998-12-03 10:45:00',
               '1998-12-03 11:00:00', '1998-12-03 11:15:00',
               ...
               '1998-12-31 20:45:00', '1998-12-31 21:00:00',
               '1998-12-31 21:15:00', '1998-12-31 21:30:00',
               '1998-12-31 21:45:00', '1998-12-31 22:00:00',
               '1998-12-31 22:15:00', '1998-12-31 22:30:00',
               '1998-12-31 22:45:00', '1998-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2745, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1998-12-01 00:00:00', '1998-12-01 00:15:00',
               '1998-12-01 00:30:00', '1998-12-01 00:45:00',
               '1998-12-01 01:00:00', '1998-12-01 01:15:00',
               '1998-12-01 01:30:00', '1998-12-01 01:45:00',
               '1998-12-01 02:00:00', '1998-12-01 02:15:00',
               '1998-12-01 02:30:00', '1998-12-01 02:45:00',
               '1998-12-01 03:00:00', '1998-12-01 03:15:00',
               '1998-12-01 03:30:00', '1998-12-01 03:45:00',
               '1998-12-01 04:00:00', '1998-12-01 04:15:00',
               '1998-12-01 04:30:00', '1998-12-01 04:45:00',
               '1998-12-01 05:00:00', '1998-12-01 05:15:00',
               '1998-12-01 05:30:00', '1998-12-01 05:45:00',
               '1998-12-01 06:00:00', '1998-12-01 06:15:00',
               '1998-12-01 06:30:00', '1998-12-01 06:45:00',
               '1998-12-01 07:00:00', '1998-12-01 07:15:00',
               '1998-12-01 07:30:00', '1998-12-01 07:45:00',
               '1998-12-01 08:00:00', '1998-12-01 08:15:00',
               '1998-12-01 08:30:00', '1998-12-01 08:45:00',
               '1998-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1998-12-1T00 to 1998-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1998-12-1T00 to 1998-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

1999

year = 1999
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-01-01 00:00:00', '1999-01-01 00:15:00',
               '1999-01-01 00:30:00', '1999-01-01 00:45:00',
               '1999-01-01 01:00:00', '1999-01-01 01:15:00',
               '1999-01-01 01:30:00', '1999-01-01 01:45:00',
               '1999-01-01 02:00:00', '1999-01-01 02:15:00',
               '1999-01-01 02:30:00', '1999-01-01 02:45:00',
               '1999-01-01 03:00:00', '1999-01-01 03:15:00',
               '1999-01-01 03:30:00', '1999-01-01 03:45:00',
               '1999-01-01 04:00:00', '1999-01-01 04:15:00',
               '1999-01-01 04:30:00', '1999-01-01 04:45:00',
               '1999-01-01 05:00:00', '1999-01-01 05:15:00',
               '1999-01-01 05:30:00', '1999-01-01 05:45:00',
               '1999-01-01 06:00:00', '1999-01-01 06:15:00',
               '1999-01-01 06:30:00', '1999-01-01 06:45:00',
               '1999-01-01 07:00:00', '1999-01-01 07:15:00',
               '1999-01-01 07:30:00', '1999-01-01 07:45:00',
               '1999-01-01 08:00:00', '1999-01-01 08:15:00',
               '1999-01-01 08:30:00', '1999-01-01 08:45:00',
               '1999-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-1-1T00 to 1999-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-1-1T00 to 1999-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-02-01 00:00:00', '1999-02-01 00:15:00',
               '1999-02-01 00:30:00', '1999-02-01 00:45:00',
               '1999-02-01 01:00:00', '1999-02-01 01:15:00',
               '1999-02-01 01:30:00', '1999-02-01 01:45:00',
               '1999-02-01 02:00:00', '1999-02-01 02:15:00',
               '1999-02-01 02:30:00', '1999-02-01 02:45:00',
               '1999-02-01 03:00:00', '1999-02-01 03:15:00',
               '1999-02-01 03:30:00', '1999-02-01 03:45:00',
               '1999-02-01 04:00:00', '1999-02-01 04:15:00',
               '1999-02-01 04:30:00', '1999-02-01 04:45:00',
               '1999-02-01 05:00:00', '1999-02-01 05:15:00',
               '1999-02-01 05:30:00', '1999-02-01 05:45:00',
               '1999-02-01 06:00:00', '1999-02-01 06:15:00',
               '1999-02-01 06:30:00', '1999-02-01 06:45:00',
               '1999-02-01 07:00:00', '1999-02-01 07:15:00',
               '1999-02-01 07:30:00', '1999-02-01 07:45:00',
               '1999-02-01 08:00:00', '1999-02-01 08:15:00',
               '1999-02-01 08:30:00', '1999-02-01 08:45:00',
               '1999-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-2-1T00 to 1999-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-2-1T00 to 1999-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-03-01 00:00:00', '1999-03-01 00:15:00',
               '1999-03-01 00:30:00', '1999-03-01 00:45:00',
               '1999-03-01 01:00:00', '1999-03-01 01:15:00',
               '1999-03-01 01:30:00', '1999-03-01 01:45:00',
               '1999-03-01 02:00:00', '1999-03-01 02:15:00',
               ...
               '1999-03-30 06:30:00', '1999-03-30 06:45:00',
               '1999-03-30 07:00:00', '1999-03-30 07:15:00',
               '1999-03-30 07:30:00', '1999-03-30 07:45:00',
               '1999-03-30 08:00:00', '1999-03-30 08:15:00',
               '1999-03-30 08:30:00', '1999-03-30 08:45:00'],
              dtype='datetime64[ns]', length=2820, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-03-01 00:00:00', '1999-03-01 00:15:00',
               '1999-03-01 00:30:00', '1999-03-01 00:45:00',
               '1999-03-01 01:00:00', '1999-03-01 01:15:00',
               '1999-03-01 01:30:00', '1999-03-01 01:45:00',
               '1999-03-01 02:00:00', '1999-03-01 02:15:00',
               '1999-03-01 02:30:00', '1999-03-01 02:45:00',
               '1999-03-01 03:00:00', '1999-03-01 03:15:00',
               '1999-03-01 03:30:00', '1999-03-01 03:45:00',
               '1999-03-01 04:00:00', '1999-03-01 04:15:00',
               '1999-03-01 04:30:00', '1999-03-01 04:45:00',
               '1999-03-01 05:00:00', '1999-03-01 05:15:00',
               '1999-03-01 05:30:00', '1999-03-01 05:45:00',
               '1999-03-01 06:00:00', '1999-03-01 06:15:00',
               '1999-03-01 06:30:00', '1999-03-01 06:45:00',
               '1999-03-01 07:00:00', '1999-03-01 07:15:00',
               '1999-03-01 07:30:00', '1999-03-01 07:45:00',
               '1999-03-01 08:00:00', '1999-03-01 08:15:00',
               '1999-03-01 08:30:00', '1999-03-01 08:45:00',
               '1999-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-03-01 00:00:00', '1999-03-01 00:15:00',
               '1999-03-01 00:30:00', '1999-03-01 00:45:00',
               '1999-03-01 01:00:00', '1999-03-01 01:15:00',
               '1999-03-01 01:30:00', '1999-03-01 01:45:00',
               '1999-03-01 02:00:00', '1999-03-01 02:15:00',
               ...
               '1999-03-12 06:30:00', '1999-03-12 06:45:00',
               '1999-03-12 07:00:00', '1999-03-12 07:15:00',
               '1999-03-12 07:30:00', '1999-03-12 07:45:00',
               '1999-03-12 08:00:00', '1999-03-12 08:15:00',
               '1999-03-12 08:30:00', '1999-03-12 08:45:00'],
              dtype='datetime64[ns]', length=1092, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-03-21 08:45:00', '1999-03-21 09:00:00',
               '1999-03-21 09:15:00', '1999-03-21 09:30:00',
               '1999-03-21 09:45:00', '1999-03-21 10:00:00',
               '1999-03-21 10:15:00', '1999-03-21 10:30:00',
               '1999-03-21 10:45:00', '1999-03-21 11:00:00',
               ...
               '1999-03-22 08:15:00', '1999-03-22 08:30:00',
               '1999-03-22 08:45:00', '1999-03-22 09:00:00',
               '1999-03-26 20:00:00', '1999-03-26 20:15:00',
               '1999-03-26 20:30:00', '1999-03-26 20:45:00',
               '1999-03-26 21:00:00', '1999-03-26 21:15:00'],
              dtype='datetime64[ns]', length=104, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-3-1T00 to 1999-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-3-1T00 to 1999-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-04-01 00:00:00', '1999-04-01 00:15:00',
               '1999-04-01 00:30:00', '1999-04-01 00:45:00',
               '1999-04-01 01:00:00', '1999-04-01 01:15:00',
               '1999-04-01 01:30:00', '1999-04-01 01:45:00',
               '1999-04-01 02:00:00', '1999-04-01 02:15:00',
               ...
               '1999-04-22 05:30:00', '1999-04-22 05:45:00',
               '1999-04-22 06:00:00', '1999-04-22 06:15:00',
               '1999-04-22 06:30:00', '1999-04-22 06:45:00',
               '1999-04-22 07:00:00', '1999-04-22 07:15:00',
               '1999-04-22 07:30:00', '1999-04-22 07:45:00'],
              dtype='datetime64[ns]', length=2048, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-04-01 00:00:00', '1999-04-01 00:15:00',
               '1999-04-01 00:30:00', '1999-04-01 00:45:00',
               '1999-04-01 01:00:00', '1999-04-01 01:15:00',
               '1999-04-01 01:30:00', '1999-04-01 01:45:00',
               '1999-04-01 02:00:00', '1999-04-01 02:15:00',
               ...
               '1999-04-19 05:30:00', '1999-04-19 05:45:00',
               '1999-04-19 06:00:00', '1999-04-19 06:15:00',
               '1999-04-19 06:30:00', '1999-04-19 06:45:00',
               '1999-04-19 07:00:00', '1999-04-19 07:15:00',
               '1999-04-19 07:30:00', '1999-04-19 07:45:00'],
              dtype='datetime64[ns]', length=1760, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-04-22 07:45:00', '1999-04-22 08:00:00',
               '1999-04-22 08:15:00', '1999-04-22 08:30:00',
               '1999-04-22 08:45:00', '1999-04-22 09:00:00',
               '1999-04-22 09:15:00', '1999-04-22 09:30:00',
               '1999-04-22 09:45:00', '1999-04-22 10:00:00',
               ...
               '1999-04-24 05:45:00', '1999-04-24 06:00:00',
               '1999-04-24 06:15:00', '1999-04-24 06:30:00',
               '1999-04-24 06:45:00', '1999-04-24 07:00:00',
               '1999-04-24 07:15:00', '1999-04-24 07:30:00',
               '1999-04-24 07:45:00', '1999-04-24 08:00:00'],
              dtype='datetime64[ns]', length=194, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-04-01 00:00:00', '1999-04-01 00:15:00',
               '1999-04-01 00:30:00', '1999-04-01 00:45:00',
               '1999-04-01 01:00:00', '1999-04-01 01:15:00',
               '1999-04-01 01:30:00', '1999-04-01 01:45:00',
               '1999-04-01 02:00:00', '1999-04-01 02:15:00',
               ...
               '1999-04-10 05:45:00', '1999-04-10 06:00:00',
               '1999-04-10 06:15:00', '1999-04-10 06:30:00',
               '1999-04-10 06:45:00', '1999-04-10 07:00:00',
               '1999-04-10 07:15:00', '1999-04-10 07:30:00',
               '1999-04-10 07:45:00', '1999-04-10 08:00:00'],
              dtype='datetime64[ns]', length=517, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-04-01 00:00:00', '1999-04-01 00:15:00',
               '1999-04-01 00:30:00', '1999-04-01 00:45:00',
               '1999-04-01 01:00:00', '1999-04-01 01:15:00',
               '1999-04-01 01:30:00', '1999-04-01 01:45:00',
               '1999-04-01 02:00:00', '1999-04-01 02:15:00',
               '1999-04-01 02:30:00', '1999-04-01 02:45:00',
               '1999-04-01 03:00:00', '1999-04-01 03:15:00',
               '1999-04-01 03:30:00', '1999-04-01 03:45:00',
               '1999-04-01 04:00:00', '1999-04-01 04:15:00',
               '1999-04-01 04:30:00', '1999-04-01 04:45:00',
               '1999-04-01 05:00:00', '1999-04-01 05:15:00',
               '1999-04-01 05:30:00', '1999-04-01 05:45:00',
               '1999-04-01 06:00:00', '1999-04-01 06:15:00',
               '1999-04-01 06:30:00', '1999-04-01 06:45:00',
               '1999-04-01 07:00:00', '1999-04-01 07:15:00',
               '1999-04-01 07:30:00', '1999-04-01 07:45:00',
               '1999-04-01 08:00:00', '1999-04-01 08:15:00',
               '1999-04-01 08:30:00', '1999-04-01 08:45:00',
               '1999-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-04-01 00:00:00', '1999-04-01 00:15:00',
               '1999-04-01 00:30:00', '1999-04-01 00:45:00',
               '1999-04-01 01:00:00', '1999-04-01 01:15:00',
               '1999-04-01 01:30:00', '1999-04-01 01:45:00',
               '1999-04-01 02:00:00', '1999-04-01 02:15:00',
               ...
               '1999-04-23 05:30:00', '1999-04-23 05:45:00',
               '1999-04-23 06:00:00', '1999-04-23 06:15:00',
               '1999-04-23 06:30:00', '1999-04-23 06:45:00',
               '1999-04-23 07:00:00', '1999-04-23 07:15:00',
               '1999-04-23 07:30:00', '1999-04-23 07:45:00'],
              dtype='datetime64[ns]', length=2144, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-04-23 18:30:00', '1999-04-23 18:45:00',
               '1999-04-23 19:00:00', '1999-04-24 10:30:00',
               '1999-04-24 10:45:00', '1999-04-24 11:00:00',
               '1999-04-24 13:45:00', '1999-04-24 14:00:00',
               '1999-04-24 14:15:00', '1999-04-24 22:15:00',
               ...
               '1999-04-30 11:45:00', '1999-04-30 17:45:00',
               '1999-04-30 18:00:00', '1999-04-30 18:15:00',
               '1999-04-30 19:15:00', '1999-04-30 19:30:00',
               '1999-04-30 19:45:00', '1999-04-30 22:00:00',
               '1999-04-30 22:15:00', '1999-04-30 22:30:00'],
              dtype='datetime64[ns]', length=102, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-04-01 00:00:00', '1999-04-01 00:15:00',
               '1999-04-01 00:30:00', '1999-04-01 00:45:00',
               '1999-04-01 01:00:00', '1999-04-01 01:15:00',
               '1999-04-01 01:30:00', '1999-04-01 01:45:00',
               '1999-04-01 02:00:00', '1999-04-01 02:15:00',
               '1999-04-01 02:30:00', '1999-04-01 02:45:00',
               '1999-04-01 03:00:00', '1999-04-01 03:15:00',
               '1999-04-01 03:30:00', '1999-04-01 03:45:00',
               '1999-04-01 04:00:00', '1999-04-01 04:15:00',
               '1999-04-01 04:30:00', '1999-04-01 04:45:00',
               '1999-04-01 05:00:00', '1999-04-01 05:15:00',
               '1999-04-01 05:30:00', '1999-04-01 05:45:00',
               '1999-04-01 06:00:00', '1999-04-01 06:15:00',
               '1999-04-01 06:30:00', '1999-04-01 06:45:00',
               '1999-04-01 07:00:00', '1999-04-01 07:15:00',
               '1999-04-01 07:30:00', '1999-04-01 07:45:00',
               '1999-04-01 08:00:00', '1999-04-01 08:15:00',
               '1999-04-01 08:30:00', '1999-04-01 08:45:00',
               '1999-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-04-01 00:00:00', '1999-04-01 00:15:00',
               '1999-04-01 00:30:00', '1999-04-01 00:45:00',
               '1999-04-01 01:00:00', '1999-04-01 01:15:00',
               '1999-04-01 01:30:00', '1999-04-01 01:45:00',
               '1999-04-01 02:00:00', '1999-04-01 02:15:00',
               ...
               '1999-04-20 05:30:00', '1999-04-20 05:45:00',
               '1999-04-20 06:00:00', '1999-04-20 06:15:00',
               '1999-04-20 06:30:00', '1999-04-20 06:45:00',
               '1999-04-20 07:00:00', '1999-04-20 07:15:00',
               '1999-04-20 07:30:00', '1999-04-20 07:45:00'],
              dtype='datetime64[ns]', length=1856, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-4-1T00 to 1999-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-4-1T00 to 1999-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-05-01 00:00:00', '1999-05-01 00:15:00',
               '1999-05-01 00:30:00', '1999-05-01 00:45:00',
               '1999-05-01 01:00:00', '1999-05-01 01:15:00',
               '1999-05-01 01:30:00', '1999-05-01 01:45:00',
               '1999-05-01 02:00:00', '1999-05-01 02:15:00',
               '1999-05-01 02:30:00', '1999-05-01 02:45:00',
               '1999-05-01 03:00:00', '1999-05-01 03:15:00',
               '1999-05-01 03:30:00', '1999-05-01 03:45:00',
               '1999-05-01 04:00:00', '1999-05-01 04:15:00',
               '1999-05-01 04:30:00', '1999-05-01 04:45:00',
               '1999-05-01 05:00:00', '1999-05-01 05:15:00',
               '1999-05-01 05:30:00', '1999-05-01 05:45:00',
               '1999-05-01 06:00:00', '1999-05-01 06:15:00',
               '1999-05-01 06:30:00', '1999-05-01 06:45:00',
               '1999-05-01 07:00:00', '1999-05-01 07:15:00',
               '1999-05-01 07:30:00', '1999-05-01 07:45:00',
               '1999-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-05-01 00:00:00', '1999-05-01 00:15:00',
               '1999-05-01 00:30:00', '1999-05-01 00:45:00',
               '1999-05-01 01:00:00', '1999-05-01 01:15:00',
               '1999-05-01 01:30:00', '1999-05-01 01:45:00',
               '1999-05-01 02:00:00', '1999-05-01 02:15:00',
               ...
               '1999-05-04 05:45:00', '1999-05-04 06:00:00',
               '1999-05-04 06:15:00', '1999-05-04 06:30:00',
               '1999-05-04 06:45:00', '1999-05-04 07:00:00',
               '1999-05-04 07:15:00', '1999-05-04 07:30:00',
               '1999-05-04 07:45:00', '1999-05-04 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-05-01 00:00:00', '1999-05-01 00:15:00',
               '1999-05-01 00:30:00', '1999-05-01 00:45:00',
               '1999-05-01 01:00:00', '1999-05-01 01:15:00',
               '1999-05-01 01:30:00', '1999-05-01 01:45:00',
               '1999-05-01 02:00:00', '1999-05-01 02:15:00',
               '1999-05-01 02:30:00', '1999-05-01 02:45:00',
               '1999-05-01 03:00:00', '1999-05-01 03:15:00',
               '1999-05-01 03:30:00', '1999-05-01 03:45:00',
               '1999-05-01 04:00:00', '1999-05-01 04:15:00',
               '1999-05-01 04:30:00', '1999-05-01 04:45:00',
               '1999-05-01 05:00:00', '1999-05-01 05:15:00',
               '1999-05-01 05:30:00', '1999-05-01 05:45:00',
               '1999-05-01 06:00:00', '1999-05-01 06:15:00',
               '1999-05-01 06:30:00', '1999-05-01 06:45:00',
               '1999-05-01 07:00:00', '1999-05-01 07:15:00',
               '1999-05-01 07:30:00', '1999-05-01 07:45:00',
               '1999-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-05-01 00:00:00', '1999-05-01 00:15:00',
               '1999-05-01 00:30:00', '1999-05-01 00:45:00',
               '1999-05-01 01:00:00', '1999-05-01 01:15:00',
               '1999-05-01 01:30:00', '1999-05-01 01:45:00',
               '1999-05-01 02:00:00', '1999-05-01 02:15:00',
               '1999-05-01 02:30:00', '1999-05-01 02:45:00',
               '1999-05-01 03:00:00', '1999-05-01 03:15:00',
               '1999-05-01 03:30:00', '1999-05-01 03:45:00',
               '1999-05-01 04:00:00', '1999-05-01 04:15:00',
               '1999-05-01 04:30:00', '1999-05-01 04:45:00',
               '1999-05-01 05:00:00', '1999-05-01 05:15:00',
               '1999-05-01 05:30:00', '1999-05-01 05:45:00',
               '1999-05-01 06:00:00', '1999-05-01 06:15:00',
               '1999-05-01 06:30:00', '1999-05-01 06:45:00',
               '1999-05-01 07:00:00', '1999-05-01 07:15:00',
               '1999-05-01 07:30:00', '1999-05-01 07:45:00',
               '1999-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-05-01 00:00:00', '1999-05-01 00:15:00',
               '1999-05-01 00:30:00', '1999-05-01 00:45:00',
               '1999-05-01 01:00:00', '1999-05-01 01:15:00',
               '1999-05-01 01:30:00', '1999-05-01 01:45:00',
               '1999-05-01 02:00:00', '1999-05-01 02:15:00',
               ...
               '1999-05-29 13:30:00', '1999-05-29 18:45:00',
               '1999-05-29 19:00:00', '1999-05-29 19:15:00',
               '1999-05-29 20:30:00', '1999-05-29 20:45:00',
               '1999-05-29 21:00:00', '1999-05-30 08:00:00',
               '1999-05-30 08:15:00', '1999-05-30 08:30:00'],
              dtype='datetime64[ns]', length=309, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-05-01 00:00:00', '1999-05-01 00:15:00',
               '1999-05-01 00:30:00', '1999-05-01 00:45:00',
               '1999-05-01 01:00:00', '1999-05-01 01:15:00',
               '1999-05-01 01:30:00', '1999-05-01 01:45:00',
               '1999-05-01 02:00:00', '1999-05-01 02:15:00',
               '1999-05-01 02:30:00', '1999-05-01 02:45:00',
               '1999-05-01 03:00:00', '1999-05-01 03:15:00',
               '1999-05-01 03:30:00', '1999-05-01 03:45:00',
               '1999-05-01 04:00:00', '1999-05-01 04:15:00',
               '1999-05-01 04:30:00', '1999-05-01 04:45:00',
               '1999-05-01 05:00:00', '1999-05-01 05:15:00',
               '1999-05-01 05:30:00', '1999-05-01 05:45:00',
               '1999-05-01 06:00:00', '1999-05-01 06:15:00',
               '1999-05-01 06:30:00', '1999-05-01 06:45:00',
               '1999-05-01 07:00:00', '1999-05-01 07:15:00',
               '1999-05-01 07:30:00', '1999-05-01 07:45:00',
               '1999-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-05-01 00:00:00', '1999-05-01 00:15:00',
               '1999-05-01 00:30:00', '1999-05-01 00:45:00',
               '1999-05-01 01:00:00', '1999-05-01 01:15:00',
               '1999-05-01 01:30:00', '1999-05-01 01:45:00',
               '1999-05-01 02:00:00', '1999-05-01 02:15:00',
               '1999-05-01 02:30:00', '1999-05-01 02:45:00',
               '1999-05-01 03:00:00', '1999-05-01 03:15:00',
               '1999-05-01 03:30:00', '1999-05-01 03:45:00',
               '1999-05-01 04:00:00', '1999-05-01 04:15:00',
               '1999-05-01 04:30:00', '1999-05-01 04:45:00',
               '1999-05-01 05:00:00', '1999-05-01 05:15:00',
               '1999-05-01 05:30:00', '1999-05-01 05:45:00',
               '1999-05-01 06:00:00', '1999-05-01 06:15:00',
               '1999-05-01 06:30:00', '1999-05-01 06:45:00',
               '1999-05-01 07:00:00', '1999-05-01 07:15:00',
               '1999-05-01 07:30:00', '1999-05-01 07:45:00',
               '1999-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-5-1T00 to 1999-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-5-1T00 to 1999-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-06-01 00:00:00', '1999-06-01 00:15:00',
               '1999-06-01 00:30:00', '1999-06-01 00:45:00',
               '1999-06-01 01:00:00', '1999-06-01 01:15:00',
               '1999-06-01 01:30:00', '1999-06-01 01:45:00',
               '1999-06-01 02:00:00', '1999-06-01 02:15:00',
               '1999-06-01 02:30:00', '1999-06-01 02:45:00',
               '1999-06-01 03:00:00', '1999-06-01 03:15:00',
               '1999-06-01 03:30:00', '1999-06-01 03:45:00',
               '1999-06-01 04:00:00', '1999-06-01 04:15:00',
               '1999-06-01 04:30:00', '1999-06-01 04:45:00',
               '1999-06-01 05:00:00', '1999-06-01 05:15:00',
               '1999-06-01 05:30:00', '1999-06-01 05:45:00',
               '1999-06-01 06:00:00', '1999-06-01 06:15:00',
               '1999-06-01 06:30:00', '1999-06-01 06:45:00',
               '1999-06-01 07:00:00', '1999-06-01 07:15:00',
               '1999-06-01 07:30:00', '1999-06-01 07:45:00',
               '1999-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-06-01 00:00:00', '1999-06-01 00:15:00',
               '1999-06-01 00:30:00', '1999-06-01 00:45:00',
               '1999-06-01 01:00:00', '1999-06-01 01:15:00',
               '1999-06-01 01:30:00', '1999-06-01 01:45:00',
               '1999-06-01 02:00:00', '1999-06-01 02:15:00',
               '1999-06-01 02:30:00', '1999-06-01 02:45:00',
               '1999-06-01 03:00:00', '1999-06-01 03:15:00',
               '1999-06-01 03:30:00', '1999-06-01 03:45:00',
               '1999-06-01 04:00:00', '1999-06-01 04:15:00',
               '1999-06-01 04:30:00', '1999-06-01 04:45:00',
               '1999-06-01 05:00:00', '1999-06-01 05:15:00',
               '1999-06-01 05:30:00', '1999-06-01 05:45:00',
               '1999-06-01 06:00:00', '1999-06-01 06:15:00',
               '1999-06-01 06:30:00', '1999-06-01 06:45:00',
               '1999-06-01 07:00:00', '1999-06-01 07:15:00',
               '1999-06-01 07:30:00', '1999-06-01 07:45:00',
               '1999-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-06-01 00:00:00', '1999-06-01 00:15:00',
               '1999-06-01 00:30:00', '1999-06-01 00:45:00',
               '1999-06-01 01:00:00', '1999-06-01 01:15:00',
               '1999-06-01 01:30:00', '1999-06-01 01:45:00',
               '1999-06-01 02:00:00', '1999-06-01 02:15:00',
               '1999-06-01 02:30:00', '1999-06-01 02:45:00',
               '1999-06-01 03:00:00', '1999-06-01 03:15:00',
               '1999-06-01 03:30:00', '1999-06-01 03:45:00',
               '1999-06-01 04:00:00', '1999-06-01 04:15:00',
               '1999-06-01 04:30:00', '1999-06-01 04:45:00',
               '1999-06-01 05:00:00', '1999-06-01 05:15:00',
               '1999-06-01 05:30:00', '1999-06-01 05:45:00',
               '1999-06-01 06:00:00', '1999-06-01 06:15:00',
               '1999-06-01 06:30:00', '1999-06-01 06:45:00',
               '1999-06-01 07:00:00', '1999-06-01 07:15:00',
               '1999-06-01 07:30:00', '1999-06-01 07:45:00',
               '1999-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-06-01 00:00:00', '1999-06-01 00:15:00',
               '1999-06-01 00:30:00', '1999-06-01 00:45:00',
               '1999-06-01 01:00:00', '1999-06-01 01:15:00',
               '1999-06-01 01:30:00', '1999-06-01 01:45:00',
               '1999-06-01 02:00:00', '1999-06-01 02:15:00',
               '1999-06-01 02:30:00', '1999-06-01 02:45:00',
               '1999-06-01 03:00:00', '1999-06-01 03:15:00',
               '1999-06-01 03:30:00', '1999-06-01 03:45:00',
               '1999-06-01 04:00:00', '1999-06-01 04:15:00',
               '1999-06-01 04:30:00', '1999-06-01 04:45:00',
               '1999-06-01 05:00:00', '1999-06-01 05:15:00',
               '1999-06-01 05:30:00', '1999-06-01 05:45:00',
               '1999-06-01 06:00:00', '1999-06-01 06:15:00',
               '1999-06-01 06:30:00', '1999-06-01 06:45:00',
               '1999-06-01 07:00:00', '1999-06-01 07:15:00',
               '1999-06-01 07:30:00', '1999-06-01 07:45:00',
               '1999-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-06-01 00:00:00', '1999-06-01 00:15:00',
               '1999-06-01 00:30:00', '1999-06-01 00:45:00',
               '1999-06-01 01:00:00', '1999-06-01 01:15:00',
               '1999-06-01 01:30:00', '1999-06-01 01:45:00',
               '1999-06-01 02:00:00', '1999-06-01 02:15:00',
               ...
               '1999-06-29 23:30:00', '1999-06-30 04:45:00',
               '1999-06-30 05:00:00', '1999-06-30 05:15:00',
               '1999-06-30 17:30:00', '1999-06-30 17:45:00',
               '1999-06-30 18:00:00', '1999-06-30 19:00:00',
               '1999-06-30 19:15:00', '1999-06-30 19:30:00'],
              dtype='datetime64[ns]', length=326, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-06-01 00:00:00', '1999-06-01 00:15:00',
               '1999-06-01 00:30:00', '1999-06-01 00:45:00',
               '1999-06-01 01:00:00', '1999-06-01 01:15:00',
               '1999-06-01 01:30:00', '1999-06-01 01:45:00',
               '1999-06-01 02:00:00', '1999-06-01 02:15:00',
               '1999-06-01 02:30:00', '1999-06-01 02:45:00',
               '1999-06-01 03:00:00', '1999-06-01 03:15:00',
               '1999-06-01 03:30:00', '1999-06-01 03:45:00',
               '1999-06-01 04:00:00', '1999-06-01 04:15:00',
               '1999-06-01 04:30:00', '1999-06-01 04:45:00',
               '1999-06-01 05:00:00', '1999-06-01 05:15:00',
               '1999-06-01 05:30:00', '1999-06-01 05:45:00',
               '1999-06-01 06:00:00', '1999-06-01 06:15:00',
               '1999-06-01 06:30:00', '1999-06-01 06:45:00',
               '1999-06-01 07:00:00', '1999-06-01 07:15:00',
               '1999-06-01 07:30:00', '1999-06-01 07:45:00',
               '1999-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-06-01 00:00:00', '1999-06-01 00:15:00',
               '1999-06-01 00:30:00', '1999-06-01 00:45:00',
               '1999-06-01 01:00:00', '1999-06-01 01:15:00',
               '1999-06-01 01:30:00', '1999-06-01 01:45:00',
               '1999-06-01 02:00:00', '1999-06-01 02:15:00',
               '1999-06-01 02:30:00', '1999-06-01 02:45:00',
               '1999-06-01 03:00:00', '1999-06-01 03:15:00',
               '1999-06-01 03:30:00', '1999-06-01 03:45:00',
               '1999-06-01 04:00:00', '1999-06-01 04:15:00',
               '1999-06-01 04:30:00', '1999-06-01 04:45:00',
               '1999-06-01 05:00:00', '1999-06-01 05:15:00',
               '1999-06-01 05:30:00', '1999-06-01 05:45:00',
               '1999-06-01 06:00:00', '1999-06-01 06:15:00',
               '1999-06-01 06:30:00', '1999-06-01 06:45:00',
               '1999-06-01 07:00:00', '1999-06-01 07:15:00',
               '1999-06-01 07:30:00', '1999-06-01 07:45:00',
               '1999-06-01 08:00:00', '1999-06-09 17:30:00',
               '1999-06-09 17:45:00', '1999-06-09 18:00:00',
               '1999-06-09 18:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-6-1T00 to 1999-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-6-1T00 to 1999-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-07-01 00:00:00', '1999-07-01 00:15:00',
               '1999-07-01 00:30:00', '1999-07-01 00:45:00',
               '1999-07-01 01:00:00', '1999-07-01 01:15:00',
               '1999-07-01 01:30:00', '1999-07-01 01:45:00',
               '1999-07-01 02:00:00', '1999-07-01 02:15:00',
               '1999-07-01 02:30:00', '1999-07-01 02:45:00',
               '1999-07-01 03:00:00', '1999-07-01 03:15:00',
               '1999-07-01 03:30:00', '1999-07-01 03:45:00',
               '1999-07-01 04:00:00', '1999-07-01 04:15:00',
               '1999-07-01 04:30:00', '1999-07-01 04:45:00',
               '1999-07-01 05:00:00', '1999-07-01 05:15:00',
               '1999-07-01 05:30:00', '1999-07-01 05:45:00',
               '1999-07-01 06:00:00', '1999-07-01 06:15:00',
               '1999-07-01 06:30:00', '1999-07-01 06:45:00',
               '1999-07-01 07:00:00', '1999-07-01 07:15:00',
               '1999-07-01 07:30:00', '1999-07-01 07:45:00',
               '1999-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-07-01 00:00:00', '1999-07-01 00:15:00',
               '1999-07-01 00:30:00', '1999-07-01 00:45:00',
               '1999-07-01 01:00:00', '1999-07-01 01:15:00',
               '1999-07-01 01:30:00', '1999-07-01 01:45:00',
               '1999-07-01 02:00:00', '1999-07-01 02:15:00',
               '1999-07-01 02:30:00', '1999-07-01 02:45:00',
               '1999-07-01 03:00:00', '1999-07-01 03:15:00',
               '1999-07-01 03:30:00', '1999-07-01 03:45:00',
               '1999-07-01 04:00:00', '1999-07-01 04:15:00',
               '1999-07-01 04:30:00', '1999-07-01 04:45:00',
               '1999-07-01 05:00:00', '1999-07-01 05:15:00',
               '1999-07-01 05:30:00', '1999-07-01 05:45:00',
               '1999-07-01 06:00:00', '1999-07-01 06:15:00',
               '1999-07-01 06:30:00', '1999-07-01 06:45:00',
               '1999-07-01 07:00:00', '1999-07-01 07:15:00',
               '1999-07-01 07:30:00', '1999-07-01 07:45:00',
               '1999-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-07-01 00:00:00', '1999-07-01 00:15:00',
               '1999-07-01 00:30:00', '1999-07-01 00:45:00',
               '1999-07-01 01:00:00', '1999-07-01 01:15:00',
               '1999-07-01 01:30:00', '1999-07-01 01:45:00',
               '1999-07-01 02:00:00', '1999-07-01 02:15:00',
               '1999-07-01 02:30:00', '1999-07-01 02:45:00',
               '1999-07-01 03:00:00', '1999-07-01 03:15:00',
               '1999-07-01 03:30:00', '1999-07-01 03:45:00',
               '1999-07-01 04:00:00', '1999-07-01 04:15:00',
               '1999-07-01 04:30:00', '1999-07-01 04:45:00',
               '1999-07-01 05:00:00', '1999-07-01 05:15:00',
               '1999-07-01 05:30:00', '1999-07-01 05:45:00',
               '1999-07-01 06:00:00', '1999-07-01 06:15:00',
               '1999-07-01 06:30:00', '1999-07-01 06:45:00',
               '1999-07-01 07:00:00', '1999-07-01 07:15:00',
               '1999-07-01 07:30:00', '1999-07-01 07:45:00',
               '1999-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-07-01 00:00:00', '1999-07-01 00:15:00',
               '1999-07-01 00:30:00', '1999-07-01 00:45:00',
               '1999-07-01 01:00:00', '1999-07-01 01:15:00',
               '1999-07-01 01:30:00', '1999-07-01 01:45:00',
               '1999-07-01 02:00:00', '1999-07-01 02:15:00',
               '1999-07-01 02:30:00', '1999-07-01 02:45:00',
               '1999-07-01 03:00:00', '1999-07-01 03:15:00',
               '1999-07-01 03:30:00', '1999-07-01 03:45:00',
               '1999-07-01 04:00:00', '1999-07-01 04:15:00',
               '1999-07-01 04:30:00', '1999-07-01 04:45:00',
               '1999-07-01 05:00:00', '1999-07-01 05:15:00',
               '1999-07-01 05:30:00', '1999-07-01 05:45:00',
               '1999-07-01 06:00:00', '1999-07-01 06:15:00',
               '1999-07-01 06:30:00', '1999-07-01 06:45:00',
               '1999-07-01 07:00:00', '1999-07-01 07:15:00',
               '1999-07-01 07:30:00', '1999-07-01 07:45:00',
               '1999-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-07-01 00:00:00', '1999-07-01 00:15:00',
               '1999-07-01 00:30:00', '1999-07-01 00:45:00',
               '1999-07-01 01:00:00', '1999-07-01 01:15:00',
               '1999-07-01 01:30:00', '1999-07-01 01:45:00',
               '1999-07-01 02:00:00', '1999-07-01 02:15:00',
               ...
               '1999-07-31 06:00:00', '1999-07-31 06:15:00',
               '1999-07-31 06:30:00', '1999-07-31 06:45:00',
               '1999-07-31 16:30:00', '1999-07-31 16:45:00',
               '1999-07-31 17:00:00', '1999-07-31 17:15:00',
               '1999-07-31 17:30:00', '1999-07-31 17:45:00'],
              dtype='datetime64[ns]', length=260, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-07-01 00:00:00', '1999-07-01 00:15:00',
               '1999-07-01 00:30:00', '1999-07-01 00:45:00',
               '1999-07-01 01:00:00', '1999-07-01 01:15:00',
               '1999-07-01 01:30:00', '1999-07-01 01:45:00',
               '1999-07-01 02:00:00', '1999-07-01 02:15:00',
               '1999-07-01 02:30:00', '1999-07-01 02:45:00',
               '1999-07-01 03:00:00', '1999-07-01 03:15:00',
               '1999-07-01 03:30:00', '1999-07-01 03:45:00',
               '1999-07-01 04:00:00', '1999-07-01 04:15:00',
               '1999-07-01 04:30:00', '1999-07-01 04:45:00',
               '1999-07-01 05:00:00', '1999-07-01 05:15:00',
               '1999-07-01 05:30:00', '1999-07-01 05:45:00',
               '1999-07-01 06:00:00', '1999-07-01 06:15:00',
               '1999-07-01 06:30:00', '1999-07-01 06:45:00',
               '1999-07-01 07:00:00', '1999-07-01 07:15:00',
               '1999-07-01 07:30:00', '1999-07-01 07:45:00',
               '1999-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-07-01 00:00:00', '1999-07-01 00:15:00',
               '1999-07-01 00:30:00', '1999-07-01 00:45:00',
               '1999-07-01 01:00:00', '1999-07-01 01:15:00',
               '1999-07-01 01:30:00', '1999-07-01 01:45:00',
               '1999-07-01 02:00:00', '1999-07-01 02:15:00',
               '1999-07-01 02:30:00', '1999-07-01 02:45:00',
               '1999-07-01 03:00:00', '1999-07-01 03:15:00',
               '1999-07-01 03:30:00', '1999-07-01 03:45:00',
               '1999-07-01 04:00:00', '1999-07-01 04:15:00',
               '1999-07-01 04:30:00', '1999-07-01 04:45:00',
               '1999-07-01 05:00:00', '1999-07-01 05:15:00',
               '1999-07-01 05:30:00', '1999-07-01 05:45:00',
               '1999-07-01 06:00:00', '1999-07-01 06:15:00',
               '1999-07-01 06:30:00', '1999-07-01 06:45:00',
               '1999-07-01 07:00:00', '1999-07-01 07:15:00',
               '1999-07-01 07:30:00', '1999-07-01 07:45:00',
               '1999-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-7-1T00 to 1999-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-7-1T00 to 1999-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-08-01 00:00:00', '1999-08-01 00:15:00',
               '1999-08-01 00:30:00', '1999-08-01 00:45:00',
               '1999-08-01 01:00:00', '1999-08-01 01:15:00',
               '1999-08-01 01:30:00', '1999-08-01 01:45:00',
               '1999-08-01 02:00:00', '1999-08-01 02:15:00',
               '1999-08-01 02:30:00', '1999-08-01 02:45:00',
               '1999-08-01 03:00:00', '1999-08-01 03:15:00',
               '1999-08-01 03:30:00', '1999-08-01 03:45:00',
               '1999-08-01 04:00:00', '1999-08-01 04:15:00',
               '1999-08-01 04:30:00', '1999-08-01 04:45:00',
               '1999-08-01 05:00:00', '1999-08-01 05:15:00',
               '1999-08-01 05:30:00', '1999-08-01 05:45:00',
               '1999-08-01 06:00:00', '1999-08-01 06:15:00',
               '1999-08-01 06:30:00', '1999-08-01 06:45:00',
               '1999-08-01 07:00:00', '1999-08-01 07:15:00',
               '1999-08-01 07:30:00', '1999-08-01 07:45:00',
               '1999-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-08-01 00:00:00', '1999-08-01 00:15:00',
               '1999-08-01 00:30:00', '1999-08-01 00:45:00',
               '1999-08-01 01:00:00', '1999-08-01 01:15:00',
               '1999-08-01 01:30:00', '1999-08-01 01:45:00',
               '1999-08-01 02:00:00', '1999-08-01 02:15:00',
               '1999-08-01 02:30:00', '1999-08-01 02:45:00',
               '1999-08-01 03:00:00', '1999-08-01 03:15:00',
               '1999-08-01 03:30:00', '1999-08-01 03:45:00',
               '1999-08-01 04:00:00', '1999-08-01 04:15:00',
               '1999-08-01 04:30:00', '1999-08-01 04:45:00',
               '1999-08-01 05:00:00', '1999-08-01 05:15:00',
               '1999-08-01 05:30:00', '1999-08-01 05:45:00',
               '1999-08-01 06:00:00', '1999-08-01 06:15:00',
               '1999-08-01 06:30:00', '1999-08-01 06:45:00',
               '1999-08-01 07:00:00', '1999-08-01 07:15:00',
               '1999-08-01 07:30:00', '1999-08-01 07:45:00',
               '1999-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-08-01 00:00:00', '1999-08-01 00:15:00',
               '1999-08-01 00:30:00', '1999-08-01 00:45:00',
               '1999-08-01 01:00:00', '1999-08-01 01:15:00',
               '1999-08-01 01:30:00', '1999-08-01 01:45:00',
               '1999-08-01 02:00:00', '1999-08-01 02:15:00',
               '1999-08-01 02:30:00', '1999-08-01 02:45:00',
               '1999-08-01 03:00:00', '1999-08-01 03:15:00',
               '1999-08-01 03:30:00', '1999-08-01 03:45:00',
               '1999-08-01 04:00:00', '1999-08-01 04:15:00',
               '1999-08-01 04:30:00', '1999-08-01 04:45:00',
               '1999-08-01 05:00:00', '1999-08-01 05:15:00',
               '1999-08-01 05:30:00', '1999-08-01 05:45:00',
               '1999-08-01 06:00:00', '1999-08-01 06:15:00',
               '1999-08-01 06:30:00', '1999-08-01 06:45:00',
               '1999-08-01 07:00:00', '1999-08-01 07:15:00',
               '1999-08-01 07:30:00', '1999-08-01 07:45:00',
               '1999-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-08-01 00:00:00', '1999-08-01 00:15:00',
               '1999-08-01 00:30:00', '1999-08-01 00:45:00',
               '1999-08-01 01:00:00', '1999-08-01 01:15:00',
               '1999-08-01 01:30:00', '1999-08-01 01:45:00',
               '1999-08-01 02:00:00', '1999-08-01 02:15:00',
               '1999-08-01 02:30:00', '1999-08-01 02:45:00',
               '1999-08-01 03:00:00', '1999-08-01 03:15:00',
               '1999-08-01 03:30:00', '1999-08-01 03:45:00',
               '1999-08-01 04:00:00', '1999-08-01 04:15:00',
               '1999-08-01 04:30:00', '1999-08-01 04:45:00',
               '1999-08-01 05:00:00', '1999-08-01 05:15:00',
               '1999-08-01 05:30:00', '1999-08-01 05:45:00',
               '1999-08-01 06:00:00', '1999-08-01 06:15:00',
               '1999-08-01 06:30:00', '1999-08-01 06:45:00',
               '1999-08-01 07:00:00', '1999-08-01 07:15:00',
               '1999-08-01 07:30:00', '1999-08-01 07:45:00',
               '1999-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-08-01 00:00:00', '1999-08-01 00:15:00',
               '1999-08-01 00:30:00', '1999-08-01 00:45:00',
               '1999-08-01 01:00:00', '1999-08-01 01:15:00',
               '1999-08-01 01:30:00', '1999-08-01 01:45:00',
               '1999-08-01 02:00:00', '1999-08-01 02:15:00',
               ...
               '1999-08-29 12:15:00', '1999-08-30 04:30:00',
               '1999-08-30 04:45:00', '1999-08-30 05:00:00',
               '1999-08-30 11:30:00', '1999-08-30 11:45:00',
               '1999-08-30 12:00:00', '1999-08-31 19:45:00',
               '1999-08-31 20:00:00', '1999-08-31 20:15:00'],
              dtype='datetime64[ns]', length=201, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-08-01 00:00:00', '1999-08-01 00:15:00',
               '1999-08-01 00:30:00', '1999-08-01 00:45:00',
               '1999-08-01 01:00:00', '1999-08-01 01:15:00',
               '1999-08-01 01:30:00', '1999-08-01 01:45:00',
               '1999-08-01 02:00:00', '1999-08-01 02:15:00',
               '1999-08-01 02:30:00', '1999-08-01 02:45:00',
               '1999-08-01 03:00:00', '1999-08-01 03:15:00',
               '1999-08-01 03:30:00', '1999-08-01 03:45:00',
               '1999-08-01 04:00:00', '1999-08-01 04:15:00',
               '1999-08-01 04:30:00', '1999-08-01 04:45:00',
               '1999-08-01 05:00:00', '1999-08-01 05:15:00',
               '1999-08-01 05:30:00', '1999-08-01 05:45:00',
               '1999-08-01 06:00:00', '1999-08-01 06:15:00',
               '1999-08-01 06:30:00', '1999-08-01 06:45:00',
               '1999-08-01 07:00:00', '1999-08-01 07:15:00',
               '1999-08-01 07:30:00', '1999-08-01 07:45:00',
               '1999-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-08-01 00:00:00', '1999-08-01 00:15:00',
               '1999-08-01 00:30:00', '1999-08-01 00:45:00',
               '1999-08-01 01:00:00', '1999-08-01 01:15:00',
               '1999-08-01 01:30:00', '1999-08-01 01:45:00',
               '1999-08-01 02:00:00', '1999-08-01 02:15:00',
               '1999-08-01 02:30:00', '1999-08-01 02:45:00',
               '1999-08-01 03:00:00', '1999-08-01 03:15:00',
               '1999-08-01 03:30:00', '1999-08-01 03:45:00',
               '1999-08-01 04:00:00', '1999-08-01 04:15:00',
               '1999-08-01 04:30:00', '1999-08-01 04:45:00',
               '1999-08-01 05:00:00', '1999-08-01 05:15:00',
               '1999-08-01 05:30:00', '1999-08-01 05:45:00',
               '1999-08-01 06:00:00', '1999-08-01 06:15:00',
               '1999-08-01 06:30:00', '1999-08-01 06:45:00',
               '1999-08-01 07:00:00', '1999-08-01 07:15:00',
               '1999-08-01 07:30:00', '1999-08-01 07:45:00',
               '1999-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-8-1T00 to 1999-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-8-1T00 to 1999-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-09-01 00:00:00', '1999-09-01 00:15:00',
               '1999-09-01 00:30:00', '1999-09-01 00:45:00',
               '1999-09-01 01:00:00', '1999-09-01 01:15:00',
               '1999-09-01 01:30:00', '1999-09-01 01:45:00',
               '1999-09-01 02:00:00', '1999-09-01 02:15:00',
               '1999-09-01 02:30:00', '1999-09-01 02:45:00',
               '1999-09-01 03:00:00', '1999-09-01 03:15:00',
               '1999-09-01 03:30:00', '1999-09-01 03:45:00',
               '1999-09-01 04:00:00', '1999-09-01 04:15:00',
               '1999-09-01 04:30:00', '1999-09-01 04:45:00',
               '1999-09-01 05:00:00', '1999-09-01 05:15:00',
               '1999-09-01 05:30:00', '1999-09-01 05:45:00',
               '1999-09-01 06:00:00', '1999-09-01 06:15:00',
               '1999-09-01 06:30:00', '1999-09-01 06:45:00',
               '1999-09-01 07:00:00', '1999-09-01 07:15:00',
               '1999-09-01 07:30:00', '1999-09-01 07:45:00',
               '1999-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-09-01 00:00:00', '1999-09-01 00:15:00',
               '1999-09-01 00:30:00', '1999-09-01 00:45:00',
               '1999-09-01 01:00:00', '1999-09-01 01:15:00',
               '1999-09-01 01:30:00', '1999-09-01 01:45:00',
               '1999-09-01 02:00:00', '1999-09-01 02:15:00',
               '1999-09-01 02:30:00', '1999-09-01 02:45:00',
               '1999-09-01 03:00:00', '1999-09-01 03:15:00',
               '1999-09-01 03:30:00', '1999-09-01 03:45:00',
               '1999-09-01 04:00:00', '1999-09-01 04:15:00',
               '1999-09-01 04:30:00', '1999-09-01 04:45:00',
               '1999-09-01 05:00:00', '1999-09-01 05:15:00',
               '1999-09-01 05:30:00', '1999-09-01 05:45:00',
               '1999-09-01 06:00:00', '1999-09-01 06:15:00',
               '1999-09-01 06:30:00', '1999-09-01 06:45:00',
               '1999-09-01 07:00:00', '1999-09-01 07:15:00',
               '1999-09-01 07:30:00', '1999-09-01 07:45:00',
               '1999-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-09-01 00:00:00', '1999-09-01 00:15:00',
               '1999-09-01 00:30:00', '1999-09-01 00:45:00',
               '1999-09-01 01:00:00', '1999-09-01 01:15:00',
               '1999-09-01 01:30:00', '1999-09-01 01:45:00',
               '1999-09-01 02:00:00', '1999-09-01 02:15:00',
               ...
               '1999-09-17 05:45:00', '1999-09-17 06:00:00',
               '1999-09-17 06:15:00', '1999-09-17 06:30:00',
               '1999-09-17 06:45:00', '1999-09-17 07:00:00',
               '1999-09-17 07:15:00', '1999-09-17 07:30:00',
               '1999-09-17 07:45:00', '1999-09-17 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-09-01 00:00:00', '1999-09-01 00:15:00',
               '1999-09-01 00:30:00', '1999-09-01 00:45:00',
               '1999-09-01 01:00:00', '1999-09-01 01:15:00',
               '1999-09-01 01:30:00', '1999-09-01 01:45:00',
               '1999-09-01 02:00:00', '1999-09-01 02:15:00',
               '1999-09-01 02:30:00', '1999-09-01 02:45:00',
               '1999-09-01 03:00:00', '1999-09-01 03:15:00',
               '1999-09-01 03:30:00', '1999-09-01 03:45:00',
               '1999-09-01 04:00:00', '1999-09-01 04:15:00',
               '1999-09-01 04:30:00', '1999-09-01 04:45:00',
               '1999-09-01 05:00:00', '1999-09-01 05:15:00',
               '1999-09-01 05:30:00', '1999-09-01 05:45:00',
               '1999-09-01 06:00:00', '1999-09-01 06:15:00',
               '1999-09-01 06:30:00', '1999-09-01 06:45:00',
               '1999-09-01 07:00:00', '1999-09-01 07:15:00',
               '1999-09-01 07:30:00', '1999-09-01 07:45:00',
               '1999-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-09-01 00:00:00', '1999-09-01 00:15:00',
               '1999-09-01 00:30:00', '1999-09-01 00:45:00',
               '1999-09-01 01:00:00', '1999-09-01 01:15:00',
               '1999-09-01 01:30:00', '1999-09-01 01:45:00',
               '1999-09-01 02:00:00', '1999-09-01 02:15:00',
               ...
               '1999-09-26 02:15:00', '1999-09-27 04:15:00',
               '1999-09-27 04:30:00', '1999-09-27 04:45:00',
               '1999-09-29 09:00:00', '1999-09-29 09:15:00',
               '1999-09-29 09:30:00', '1999-09-30 07:30:00',
               '1999-09-30 07:45:00', '1999-09-30 08:00:00'],
              dtype='datetime64[ns]', length=153, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-09-01 00:00:00', '1999-09-01 00:15:00',
               '1999-09-01 00:30:00', '1999-09-01 00:45:00',
               '1999-09-01 01:00:00', '1999-09-01 01:15:00',
               '1999-09-01 01:30:00', '1999-09-01 01:45:00',
               '1999-09-01 02:00:00', '1999-09-01 02:15:00',
               '1999-09-01 02:30:00', '1999-09-01 02:45:00',
               '1999-09-01 03:00:00', '1999-09-01 03:15:00',
               '1999-09-01 03:30:00', '1999-09-01 03:45:00',
               '1999-09-01 04:00:00', '1999-09-01 04:15:00',
               '1999-09-01 04:30:00', '1999-09-01 04:45:00',
               '1999-09-01 05:00:00', '1999-09-01 05:15:00',
               '1999-09-01 05:30:00', '1999-09-01 05:45:00',
               '1999-09-01 06:00:00', '1999-09-01 06:15:00',
               '1999-09-01 06:30:00', '1999-09-01 06:45:00',
               '1999-09-01 07:00:00', '1999-09-01 07:15:00',
               '1999-09-01 07:30:00', '1999-09-01 07:45:00',
               '1999-09-01 08:00:00', '1999-09-09 23:00:00',
               '1999-09-09 23:15:00', '1999-09-09 23:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-09-01 00:00:00', '1999-09-01 00:15:00',
               '1999-09-01 00:30:00', '1999-09-01 00:45:00',
               '1999-09-01 01:00:00', '1999-09-01 01:15:00',
               '1999-09-01 01:30:00', '1999-09-01 01:45:00',
               '1999-09-01 02:00:00', '1999-09-01 02:15:00',
               '1999-09-01 02:30:00', '1999-09-01 02:45:00',
               '1999-09-01 03:00:00', '1999-09-01 03:15:00',
               '1999-09-01 03:30:00', '1999-09-01 03:45:00',
               '1999-09-01 04:00:00', '1999-09-01 04:15:00',
               '1999-09-01 04:30:00', '1999-09-01 04:45:00',
               '1999-09-01 05:00:00', '1999-09-01 05:15:00',
               '1999-09-01 05:30:00', '1999-09-01 05:45:00',
               '1999-09-01 06:00:00', '1999-09-01 06:15:00',
               '1999-09-01 06:30:00', '1999-09-01 06:45:00',
               '1999-09-01 07:00:00', '1999-09-01 07:15:00',
               '1999-09-01 07:30:00', '1999-09-01 07:45:00',
               '1999-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-9-1T00 to 1999-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-9-1T00 to 1999-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-10-14 08:00:00', '1999-10-14 08:15:00',
               '1999-10-14 08:30:00', '1999-10-14 08:45:00',
               '1999-10-14 09:00:00', '1999-10-14 09:15:00',
               '1999-10-14 09:30:00', '1999-10-14 09:45:00',
               '1999-10-14 10:00:00', '1999-10-14 10:15:00',
               ...
               '1999-10-31 20:45:00', '1999-10-31 21:00:00',
               '1999-10-31 21:15:00', '1999-10-31 21:30:00',
               '1999-10-31 21:45:00', '1999-10-31 22:00:00',
               '1999-10-31 22:15:00', '1999-10-31 22:30:00',
               '1999-10-31 22:45:00', '1999-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1693, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-10-01 00:00:00', '1999-10-01 00:15:00',
               '1999-10-01 00:30:00', '1999-10-01 00:45:00',
               '1999-10-01 01:00:00', '1999-10-01 01:15:00',
               '1999-10-01 01:30:00', '1999-10-01 01:45:00',
               '1999-10-01 02:00:00', '1999-10-01 02:15:00',
               '1999-10-01 02:30:00', '1999-10-01 02:45:00',
               '1999-10-01 03:00:00', '1999-10-01 03:15:00',
               '1999-10-01 03:30:00', '1999-10-01 03:45:00',
               '1999-10-01 04:00:00', '1999-10-01 04:15:00',
               '1999-10-01 04:30:00', '1999-10-01 04:45:00',
               '1999-10-01 05:00:00', '1999-10-01 05:15:00',
               '1999-10-01 05:30:00', '1999-10-01 05:45:00',
               '1999-10-01 06:00:00', '1999-10-01 06:15:00',
               '1999-10-01 06:30:00', '1999-10-01 06:45:00',
               '1999-10-01 07:00:00', '1999-10-01 07:15:00',
               '1999-10-01 07:30:00', '1999-10-01 07:45:00',
               '1999-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-10-01 00:00:00', '1999-10-01 00:15:00',
               '1999-10-01 00:30:00', '1999-10-01 00:45:00',
               '1999-10-01 01:00:00', '1999-10-01 01:15:00',
               '1999-10-01 01:30:00', '1999-10-01 01:45:00',
               '1999-10-01 02:00:00', '1999-10-01 02:15:00',
               ...
               '1999-10-31 20:45:00', '1999-10-31 21:00:00',
               '1999-10-31 21:15:00', '1999-10-31 21:30:00',
               '1999-10-31 21:45:00', '1999-10-31 22:00:00',
               '1999-10-31 22:15:00', '1999-10-31 22:30:00',
               '1999-10-31 22:45:00', '1999-10-31 23:00:00'],
              dtype='datetime64[ns]', length=288, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-10-01 00:00:00', '1999-10-01 00:15:00',
               '1999-10-01 00:30:00', '1999-10-01 00:45:00',
               '1999-10-01 01:00:00', '1999-10-01 01:15:00',
               '1999-10-01 01:30:00', '1999-10-01 01:45:00',
               '1999-10-01 02:00:00', '1999-10-01 02:15:00',
               '1999-10-01 02:30:00', '1999-10-01 02:45:00',
               '1999-10-01 03:00:00', '1999-10-01 03:15:00',
               '1999-10-01 03:30:00', '1999-10-01 03:45:00',
               '1999-10-01 04:00:00', '1999-10-01 04:15:00',
               '1999-10-01 04:30:00', '1999-10-01 04:45:00',
               '1999-10-01 05:00:00', '1999-10-01 05:15:00',
               '1999-10-01 05:30:00', '1999-10-01 05:45:00',
               '1999-10-01 06:00:00', '1999-10-01 06:15:00',
               '1999-10-01 06:30:00', '1999-10-01 06:45:00',
               '1999-10-01 07:00:00', '1999-10-01 07:15:00',
               '1999-10-01 07:30:00', '1999-10-01 07:45:00',
               '1999-10-01 08:00:00', '1999-10-31 08:45:00',
               '1999-10-31 09:00:00', '1999-10-31 09:15:00',
               '1999-10-31 09:30:00', '1999-10-31 09:45:00',
               '1999-10-31 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-10-01 00:00:00', '1999-10-01 00:15:00',
               '1999-10-01 00:30:00', '1999-10-01 00:45:00',
               '1999-10-01 01:00:00', '1999-10-01 01:15:00',
               '1999-10-01 01:30:00', '1999-10-01 01:45:00',
               '1999-10-01 02:00:00', '1999-10-01 02:15:00',
               '1999-10-01 02:30:00', '1999-10-01 02:45:00',
               '1999-10-01 03:00:00', '1999-10-01 03:15:00',
               '1999-10-01 03:30:00', '1999-10-01 03:45:00',
               '1999-10-01 04:00:00', '1999-10-01 04:15:00',
               '1999-10-01 04:30:00', '1999-10-01 04:45:00',
               '1999-10-01 05:00:00', '1999-10-01 05:15:00',
               '1999-10-01 05:30:00', '1999-10-01 05:45:00',
               '1999-10-01 06:00:00', '1999-10-01 06:15:00',
               '1999-10-01 06:30:00', '1999-10-01 06:45:00',
               '1999-10-01 07:00:00', '1999-10-01 07:15:00',
               '1999-10-01 07:30:00', '1999-10-01 07:45:00',
               '1999-10-01 08:00:00', '1999-10-31 08:45:00',
               '1999-10-31 09:00:00', '1999-10-31 09:15:00',
               '1999-10-31 09:30:00', '1999-10-31 09:45:00',
               '1999-10-31 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-10-01 00:00:00', '1999-10-01 00:15:00',
               '1999-10-01 00:30:00', '1999-10-01 00:45:00',
               '1999-10-01 01:00:00', '1999-10-01 01:15:00',
               '1999-10-01 01:30:00', '1999-10-01 01:45:00',
               '1999-10-01 02:00:00', '1999-10-01 02:15:00',
               ...
               '1999-10-29 07:15:00', '1999-10-29 07:30:00',
               '1999-10-29 07:45:00', '1999-10-29 08:00:00',
               '1999-10-31 08:45:00', '1999-10-31 09:00:00',
               '1999-10-31 09:15:00', '1999-10-31 09:30:00',
               '1999-10-31 09:45:00', '1999-10-31 10:00:00'],
              dtype='datetime64[ns]', length=637, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-10-01 00:00:00', '1999-10-01 00:15:00',
               '1999-10-01 00:30:00', '1999-10-01 00:45:00',
               '1999-10-01 01:00:00', '1999-10-01 01:15:00',
               '1999-10-01 01:30:00', '1999-10-01 01:45:00',
               '1999-10-01 02:00:00', '1999-10-01 02:15:00',
               ...
               '1999-10-16 08:00:00', '1999-10-18 20:00:00',
               '1999-10-18 20:15:00', '1999-10-18 20:30:00',
               '1999-10-31 08:45:00', '1999-10-31 09:00:00',
               '1999-10-31 09:15:00', '1999-10-31 09:30:00',
               '1999-10-31 09:45:00', '1999-10-31 10:00:00'],
              dtype='datetime64[ns]', length=140, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-10-01 00:00:00', '1999-10-01 00:15:00',
               '1999-10-01 00:30:00', '1999-10-01 00:45:00',
               '1999-10-01 01:00:00', '1999-10-01 01:15:00',
               '1999-10-01 01:30:00', '1999-10-01 01:45:00',
               '1999-10-01 02:00:00', '1999-10-01 02:15:00',
               '1999-10-01 02:30:00', '1999-10-01 02:45:00',
               '1999-10-01 03:00:00', '1999-10-01 03:15:00',
               '1999-10-01 03:30:00', '1999-10-01 03:45:00',
               '1999-10-01 04:00:00', '1999-10-01 04:15:00',
               '1999-10-01 04:30:00', '1999-10-01 04:45:00',
               '1999-10-01 05:00:00', '1999-10-01 05:15:00',
               '1999-10-01 05:30:00', '1999-10-01 05:45:00',
               '1999-10-01 06:00:00', '1999-10-01 06:15:00',
               '1999-10-01 06:30:00', '1999-10-01 06:45:00',
               '1999-10-01 07:00:00', '1999-10-01 07:15:00',
               '1999-10-01 07:30:00', '1999-10-01 07:45:00',
               '1999-10-01 08:00:00', '1999-10-06 16:45:00',
               '1999-10-06 17:00:00', '1999-10-06 17:15:00',
               '1999-10-06 17:30:00', '1999-10-06 17:45:00',
               '1999-10-06 18:00:00', '1999-10-31 08:45:00',
               '1999-10-31 09:00:00', '1999-10-31 09:15:00',
               '1999-10-31 09:30:00', '1999-10-31 09:45:00',
               '1999-10-31 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-10-1T00 to 1999-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-10-1T00 to 1999-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-11-01 00:00:00', '1999-11-01 00:15:00',
               '1999-11-01 00:30:00', '1999-11-01 00:45:00',
               '1999-11-01 01:00:00', '1999-11-01 01:15:00',
               '1999-11-01 01:30:00', '1999-11-01 01:45:00',
               '1999-11-01 02:00:00', '1999-11-01 02:15:00',
               ...
               '1999-11-15 06:30:00', '1999-11-15 06:45:00',
               '1999-11-15 07:00:00', '1999-11-15 07:15:00',
               '1999-11-15 07:30:00', '1999-11-15 07:45:00',
               '1999-11-15 08:00:00', '1999-11-15 08:15:00',
               '1999-11-15 08:30:00', '1999-11-15 08:45:00'],
              dtype='datetime64[ns]', length=1380, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-11-11 09:00:00', '1999-11-11 09:15:00',
               '1999-11-11 09:30:00', '1999-11-11 09:45:00',
               '1999-11-11 10:00:00', '1999-11-11 10:15:00',
               '1999-11-11 10:30:00', '1999-11-11 10:45:00',
               '1999-11-11 11:00:00', '1999-11-11 11:15:00',
               ...
               '1999-11-30 20:45:00', '1999-11-30 21:00:00',
               '1999-11-30 21:15:00', '1999-11-30 21:30:00',
               '1999-11-30 21:45:00', '1999-11-30 22:00:00',
               '1999-11-30 22:15:00', '1999-11-30 22:30:00',
               '1999-11-30 22:45:00', '1999-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1881, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-11-01 00:00:00', '1999-11-01 00:15:00',
               '1999-11-01 00:30:00', '1999-11-01 00:45:00',
               '1999-11-01 01:00:00', '1999-11-01 01:15:00',
               '1999-11-01 01:30:00', '1999-11-01 01:45:00',
               '1999-11-01 02:00:00', '1999-11-01 02:15:00',
               '1999-11-01 02:30:00', '1999-11-01 02:45:00',
               '1999-11-01 03:00:00', '1999-11-01 03:15:00',
               '1999-11-01 03:30:00', '1999-11-01 03:45:00',
               '1999-11-01 04:00:00', '1999-11-01 04:15:00',
               '1999-11-01 04:30:00', '1999-11-01 04:45:00',
               '1999-11-01 05:00:00', '1999-11-01 05:15:00',
               '1999-11-01 05:30:00', '1999-11-01 05:45:00',
               '1999-11-01 06:00:00', '1999-11-01 06:15:00',
               '1999-11-01 06:30:00', '1999-11-01 06:45:00',
               '1999-11-01 07:00:00', '1999-11-01 07:15:00',
               '1999-11-01 07:30:00', '1999-11-01 07:45:00',
               '1999-11-01 08:00:00', '1999-11-01 08:15:00',
               '1999-11-01 08:30:00', '1999-11-01 08:45:00',
               '1999-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-11-01 00:00:00', '1999-11-01 00:15:00',
               '1999-11-01 00:30:00', '1999-11-01 00:45:00',
               '1999-11-01 01:00:00', '1999-11-01 01:15:00',
               '1999-11-01 01:30:00', '1999-11-01 01:45:00',
               '1999-11-01 02:00:00', '1999-11-01 02:15:00',
               '1999-11-01 02:30:00', '1999-11-01 02:45:00',
               '1999-11-01 03:00:00', '1999-11-01 03:15:00',
               '1999-11-01 03:30:00', '1999-11-01 03:45:00',
               '1999-11-01 04:00:00', '1999-11-01 04:15:00',
               '1999-11-01 04:30:00', '1999-11-01 04:45:00',
               '1999-11-01 05:00:00', '1999-11-01 05:15:00',
               '1999-11-01 05:30:00', '1999-11-01 05:45:00',
               '1999-11-01 06:00:00', '1999-11-01 06:15:00',
               '1999-11-01 06:30:00', '1999-11-01 06:45:00',
               '1999-11-01 07:00:00', '1999-11-01 07:15:00',
               '1999-11-01 07:30:00', '1999-11-01 07:45:00',
               '1999-11-01 08:00:00', '1999-11-01 08:15:00',
               '1999-11-01 08:30:00', '1999-11-01 08:45:00',
               '1999-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-11-10 09:00:00', '1999-11-10 09:15:00',
               '1999-11-10 09:30:00', '1999-11-10 09:45:00',
               '1999-11-10 10:00:00', '1999-11-10 10:15:00',
               '1999-11-10 10:30:00', '1999-11-10 10:45:00',
               '1999-11-10 11:00:00', '1999-11-10 11:15:00',
               ...
               '1999-11-30 20:45:00', '1999-11-30 21:00:00',
               '1999-11-30 21:15:00', '1999-11-30 21:30:00',
               '1999-11-30 21:45:00', '1999-11-30 22:00:00',
               '1999-11-30 22:15:00', '1999-11-30 22:30:00',
               '1999-11-30 22:45:00', '1999-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-11-01 00:00:00', '1999-11-01 00:15:00',
               '1999-11-01 00:30:00', '1999-11-01 00:45:00',
               '1999-11-01 01:00:00', '1999-11-01 01:15:00',
               '1999-11-01 01:30:00', '1999-11-01 01:45:00',
               '1999-11-01 02:00:00', '1999-11-01 02:15:00',
               ...
               '1999-11-05 06:45:00', '1999-11-05 07:00:00',
               '1999-11-05 07:15:00', '1999-11-05 07:30:00',
               '1999-11-05 07:45:00', '1999-11-05 08:00:00',
               '1999-11-05 08:15:00', '1999-11-05 08:30:00',
               '1999-11-05 08:45:00', '1999-11-05 09:00:00'],
              dtype='datetime64[ns]', length=327, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-11-01 00:00:00', '1999-11-01 00:15:00',
               '1999-11-01 00:30:00', '1999-11-01 00:45:00',
               '1999-11-01 01:00:00', '1999-11-01 01:15:00',
               '1999-11-01 01:30:00', '1999-11-01 01:45:00',
               '1999-11-01 02:00:00', '1999-11-01 02:15:00',
               ...
               '1999-11-30 20:45:00', '1999-11-30 21:00:00',
               '1999-11-30 21:15:00', '1999-11-30 21:30:00',
               '1999-11-30 21:45:00', '1999-11-30 22:00:00',
               '1999-11-30 22:15:00', '1999-11-30 22:30:00',
               '1999-11-30 22:45:00', '1999-11-30 23:00:00'],
              dtype='datetime64[ns]', length=771, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-11-01 00:00:00', '1999-11-01 00:15:00',
               '1999-11-01 00:30:00', '1999-11-01 00:45:00',
               '1999-11-01 01:00:00', '1999-11-01 01:15:00',
               '1999-11-01 01:30:00', '1999-11-01 01:45:00',
               '1999-11-01 02:00:00', '1999-11-01 02:15:00',
               ...
               '1999-11-30 20:45:00', '1999-11-30 21:00:00',
               '1999-11-30 21:15:00', '1999-11-30 21:30:00',
               '1999-11-30 21:45:00', '1999-11-30 22:00:00',
               '1999-11-30 22:15:00', '1999-11-30 22:30:00',
               '1999-11-30 22:45:00', '1999-11-30 23:00:00'],
              dtype='datetime64[ns]', length=383, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-11-1T00 to 1999-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-11-1T00 to 1999-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-12-01 00:00:00', '1999-12-01 00:15:00',
               '1999-12-01 00:30:00', '1999-12-01 00:45:00',
               '1999-12-01 01:00:00', '1999-12-01 01:15:00',
               '1999-12-01 01:30:00', '1999-12-01 01:45:00',
               '1999-12-01 02:00:00', '1999-12-01 02:15:00',
               ...
               '1999-12-16 06:45:00', '1999-12-16 07:00:00',
               '1999-12-16 07:15:00', '1999-12-16 07:30:00',
               '1999-12-16 07:45:00', '1999-12-16 08:00:00',
               '1999-12-16 08:15:00', '1999-12-16 08:30:00',
               '1999-12-16 08:45:00', '1999-12-16 09:00:00'],
              dtype='datetime64[ns]', length=615, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-12-01 00:00:00', '1999-12-01 00:15:00',
               '1999-12-01 00:30:00', '1999-12-01 00:45:00',
               '1999-12-01 01:00:00', '1999-12-01 01:15:00',
               '1999-12-01 01:30:00', '1999-12-01 01:45:00',
               '1999-12-01 02:00:00', '1999-12-01 02:15:00',
               '1999-12-01 02:30:00', '1999-12-01 02:45:00',
               '1999-12-01 03:00:00', '1999-12-01 03:15:00',
               '1999-12-01 03:30:00', '1999-12-01 03:45:00',
               '1999-12-01 04:00:00', '1999-12-01 04:15:00',
               '1999-12-01 04:30:00', '1999-12-01 04:45:00',
               '1999-12-01 05:00:00', '1999-12-01 05:15:00',
               '1999-12-01 05:30:00', '1999-12-01 05:45:00',
               '1999-12-01 06:00:00', '1999-12-01 06:15:00',
               '1999-12-01 06:30:00', '1999-12-01 06:45:00',
               '1999-12-01 07:00:00', '1999-12-01 07:15:00',
               '1999-12-01 07:30:00', '1999-12-01 07:45:00',
               '1999-12-01 08:00:00', '1999-12-01 08:15:00',
               '1999-12-01 08:30:00', '1999-12-01 08:45:00',
               '1999-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-12-06 09:00:00', '1999-12-06 09:15:00',
               '1999-12-06 09:30:00', '1999-12-06 09:45:00',
               '1999-12-06 10:00:00', '1999-12-06 10:15:00',
               '1999-12-06 10:30:00', '1999-12-06 10:45:00',
               '1999-12-06 11:00:00', '1999-12-06 11:15:00',
               ...
               '1999-12-31 20:45:00', '1999-12-31 21:00:00',
               '1999-12-31 21:15:00', '1999-12-31 21:30:00',
               '1999-12-31 21:45:00', '1999-12-31 22:00:00',
               '1999-12-31 22:15:00', '1999-12-31 22:30:00',
               '1999-12-31 22:45:00', '1999-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2457, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-12-01 00:00:00', '1999-12-01 00:15:00',
               '1999-12-01 00:30:00', '1999-12-01 00:45:00',
               '1999-12-01 01:00:00', '1999-12-01 01:15:00',
               '1999-12-01 01:30:00', '1999-12-01 01:45:00',
               '1999-12-01 02:00:00', '1999-12-01 02:15:00',
               ...
               '1999-12-04 06:45:00', '1999-12-04 07:00:00',
               '1999-12-04 07:15:00', '1999-12-04 07:30:00',
               '1999-12-04 07:45:00', '1999-12-04 08:00:00',
               '1999-12-04 08:15:00', '1999-12-04 08:30:00',
               '1999-12-04 08:45:00', '1999-12-04 09:00:00'],
              dtype='datetime64[ns]', length=325, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['1999-12-05 09:00:00', '1999-12-05 09:15:00',
               '1999-12-05 09:30:00', '1999-12-05 09:45:00',
               '1999-12-05 10:00:00', '1999-12-05 10:15:00',
               '1999-12-05 10:30:00', '1999-12-05 10:45:00',
               '1999-12-05 11:00:00', '1999-12-05 11:15:00',
               ...
               '1999-12-31 20:45:00', '1999-12-31 21:00:00',
               '1999-12-31 21:15:00', '1999-12-31 21:30:00',
               '1999-12-31 21:45:00', '1999-12-31 22:00:00',
               '1999-12-31 22:15:00', '1999-12-31 22:30:00',
               '1999-12-31 22:45:00', '1999-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2553, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['1999-12-01 00:00:00', '1999-12-01 00:15:00',
               '1999-12-01 00:30:00', '1999-12-01 00:45:00',
               '1999-12-01 01:00:00', '1999-12-01 01:15:00',
               '1999-12-01 01:30:00', '1999-12-01 01:45:00',
               '1999-12-01 02:00:00', '1999-12-01 02:15:00',
               ...
               '1999-12-03 06:45:00', '1999-12-03 07:00:00',
               '1999-12-03 07:15:00', '1999-12-03 07:30:00',
               '1999-12-03 07:45:00', '1999-12-03 08:00:00',
               '1999-12-03 08:15:00', '1999-12-03 08:30:00',
               '1999-12-03 08:45:00', '1999-12-03 09:00:00'],
              dtype='datetime64[ns]', length=229, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 1999-12-1T00 to 1999-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 1999-12-1T00 to 1999-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2000

year = 2000
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-01-01 00:00:00', '2000-01-01 00:15:00',
               '2000-01-01 00:30:00', '2000-01-01 00:45:00',
               '2000-01-01 01:00:00', '2000-01-01 01:15:00',
               '2000-01-01 01:30:00', '2000-01-01 01:45:00',
               '2000-01-01 02:00:00', '2000-01-01 02:15:00',
               '2000-01-01 02:30:00', '2000-01-01 02:45:00',
               '2000-01-01 03:00:00', '2000-01-01 03:15:00',
               '2000-01-01 03:30:00', '2000-01-01 03:45:00',
               '2000-01-01 04:00:00', '2000-01-01 04:15:00',
               '2000-01-01 04:30:00', '2000-01-01 04:45:00',
               '2000-01-01 05:00:00', '2000-01-01 05:15:00',
               '2000-01-01 05:30:00', '2000-01-01 05:45:00',
               '2000-01-01 06:00:00', '2000-01-01 06:15:00',
               '2000-01-01 06:30:00', '2000-01-01 06:45:00',
               '2000-01-01 07:00:00', '2000-01-01 07:15:00',
               '2000-01-01 07:30:00', '2000-01-01 07:45:00',
               '2000-01-01 08:00:00', '2000-01-01 08:15:00',
               '2000-01-01 08:30:00', '2000-01-01 08:45:00',
               '2000-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-01-01 00:00:00', '2000-01-01 00:15:00',
               '2000-01-01 00:30:00', '2000-01-01 00:45:00',
               '2000-01-01 01:00:00', '2000-01-01 01:15:00',
               '2000-01-01 01:30:00', '2000-01-01 01:45:00',
               '2000-01-01 02:00:00', '2000-01-01 02:15:00',
               '2000-01-01 02:30:00', '2000-01-01 02:45:00',
               '2000-01-01 03:00:00', '2000-01-01 03:15:00',
               '2000-01-01 03:30:00', '2000-01-01 03:45:00',
               '2000-01-01 04:00:00', '2000-01-01 04:15:00',
               '2000-01-01 04:30:00', '2000-01-01 04:45:00',
               '2000-01-01 05:00:00', '2000-01-01 05:15:00',
               '2000-01-01 05:30:00', '2000-01-01 05:45:00',
               '2000-01-01 06:00:00', '2000-01-01 06:15:00',
               '2000-01-01 06:30:00', '2000-01-01 06:45:00',
               '2000-01-01 07:00:00', '2000-01-01 07:15:00',
               '2000-01-01 07:30:00', '2000-01-01 07:45:00',
               '2000-01-01 08:00:00', '2000-01-01 08:15:00',
               '2000-01-01 08:30:00', '2000-01-01 08:45:00',
               '2000-01-01 09:00:00', '2000-01-19 19:30:00',
               '2000-01-19 19:45:00', '2000-01-19 20:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-01-01 00:00:00', '2000-01-01 00:15:00',
               '2000-01-01 00:30:00', '2000-01-01 00:45:00',
               '2000-01-01 01:00:00', '2000-01-01 01:15:00',
               '2000-01-01 01:30:00', '2000-01-01 01:45:00',
               '2000-01-01 02:00:00', '2000-01-01 02:15:00',
               ...
               '2000-01-23 06:30:00', '2000-01-23 06:45:00',
               '2000-01-23 07:00:00', '2000-01-23 07:15:00',
               '2000-01-23 07:30:00', '2000-01-23 07:45:00',
               '2000-01-23 08:00:00', '2000-01-23 08:15:00',
               '2000-01-23 08:30:00', '2000-01-23 08:45:00'],
              dtype='datetime64[ns]', length=2148, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-01-26 08:45:00', '2000-01-26 09:00:00',
               '2000-01-26 09:15:00', '2000-01-26 09:30:00',
               '2000-01-26 09:45:00', '2000-01-26 10:00:00',
               '2000-01-26 10:15:00', '2000-01-26 10:30:00',
               '2000-01-26 10:45:00', '2000-01-26 11:00:00',
               ...
               '2000-01-31 20:45:00', '2000-01-31 21:00:00',
               '2000-01-31 21:15:00', '2000-01-31 21:30:00',
               '2000-01-31 21:45:00', '2000-01-31 22:00:00',
               '2000-01-31 22:15:00', '2000-01-31 22:30:00',
               '2000-01-31 22:45:00', '2000-01-31 23:00:00'],
              dtype='datetime64[ns]', length=538, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-01-01 00:00:00', '2000-01-01 00:15:00',
               '2000-01-01 00:30:00', '2000-01-01 00:45:00',
               '2000-01-01 01:00:00', '2000-01-01 01:15:00',
               '2000-01-01 01:30:00', '2000-01-01 01:45:00',
               '2000-01-01 02:00:00', '2000-01-01 02:15:00',
               ...
               '2000-01-25 06:30:00', '2000-01-25 06:45:00',
               '2000-01-25 07:00:00', '2000-01-25 07:15:00',
               '2000-01-25 07:30:00', '2000-01-25 07:45:00',
               '2000-01-25 08:00:00', '2000-01-25 08:15:00',
               '2000-01-25 08:30:00', '2000-01-25 08:45:00'],
              dtype='datetime64[ns]', length=2340, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-1-1T00 to 2000-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-1-1T00 to 2000-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-02-01 00:00:00', '2000-02-01 00:15:00',
               '2000-02-01 00:30:00', '2000-02-01 00:45:00',
               '2000-02-01 01:00:00', '2000-02-01 01:15:00',
               '2000-02-01 01:30:00', '2000-02-01 01:45:00',
               '2000-02-01 02:00:00', '2000-02-01 02:15:00',
               '2000-02-01 02:30:00', '2000-02-01 02:45:00',
               '2000-02-01 03:00:00', '2000-02-01 03:15:00',
               '2000-02-01 03:30:00', '2000-02-01 03:45:00',
               '2000-02-01 04:00:00', '2000-02-01 04:15:00',
               '2000-02-01 04:30:00', '2000-02-01 04:45:00',
               '2000-02-01 05:00:00', '2000-02-01 05:15:00',
               '2000-02-01 05:30:00', '2000-02-01 05:45:00',
               '2000-02-01 06:00:00', '2000-02-01 06:15:00',
               '2000-02-01 06:30:00', '2000-02-01 06:45:00',
               '2000-02-01 07:00:00', '2000-02-01 07:15:00',
               '2000-02-01 07:30:00', '2000-02-01 07:45:00',
               '2000-02-01 08:00:00', '2000-02-01 08:15:00',
               '2000-02-01 08:30:00', '2000-02-01 08:45:00',
               '2000-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-02-01 00:00:00', '2000-02-01 00:15:00',
               '2000-02-01 00:30:00', '2000-02-01 00:45:00',
               '2000-02-01 01:00:00', '2000-02-01 01:15:00',
               '2000-02-01 01:30:00', '2000-02-01 01:45:00',
               '2000-02-01 02:00:00', '2000-02-01 02:15:00',
               '2000-02-01 02:30:00', '2000-02-01 02:45:00',
               '2000-02-01 03:00:00', '2000-02-01 03:15:00',
               '2000-02-01 03:30:00', '2000-02-01 03:45:00',
               '2000-02-01 04:00:00', '2000-02-01 04:15:00',
               '2000-02-01 04:30:00', '2000-02-01 04:45:00',
               '2000-02-01 05:00:00', '2000-02-01 05:15:00',
               '2000-02-01 05:30:00', '2000-02-01 05:45:00',
               '2000-02-01 06:00:00', '2000-02-01 06:15:00',
               '2000-02-01 06:30:00', '2000-02-01 06:45:00',
               '2000-02-01 07:00:00', '2000-02-01 07:15:00',
               '2000-02-01 07:30:00', '2000-02-01 07:45:00',
               '2000-02-01 08:00:00', '2000-02-01 08:15:00',
               '2000-02-01 08:30:00', '2000-02-01 08:45:00',
               '2000-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-02-01 00:00:00', '2000-02-01 00:15:00',
               '2000-02-01 00:30:00', '2000-02-01 00:45:00',
               '2000-02-01 01:00:00', '2000-02-01 01:15:00',
               '2000-02-01 01:30:00', '2000-02-01 01:45:00',
               '2000-02-01 02:00:00', '2000-02-01 02:15:00',
               ...
               '2000-02-16 06:30:00', '2000-02-16 06:45:00',
               '2000-02-16 07:00:00', '2000-02-16 07:15:00',
               '2000-02-16 07:30:00', '2000-02-16 07:45:00',
               '2000-02-16 08:00:00', '2000-02-16 08:15:00',
               '2000-02-16 08:30:00', '2000-02-16 08:45:00'],
              dtype='datetime64[ns]', length=1476, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-02-18 08:45:00', '2000-02-18 09:00:00',
               '2000-02-18 09:15:00', '2000-02-18 09:30:00',
               '2000-02-18 09:45:00', '2000-02-18 10:00:00',
               '2000-02-18 10:15:00', '2000-02-18 10:30:00',
               '2000-02-18 10:45:00', '2000-02-18 11:00:00',
               ...
               '2000-02-27 06:45:00', '2000-02-27 07:00:00',
               '2000-02-27 07:15:00', '2000-02-27 07:30:00',
               '2000-02-27 07:45:00', '2000-02-27 08:00:00',
               '2000-02-27 08:15:00', '2000-02-27 08:30:00',
               '2000-02-27 08:45:00', '2000-02-27 09:00:00'],
              dtype='datetime64[ns]', length=676, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-02-01 00:00:00', '2000-02-01 00:15:00',
               '2000-02-01 00:30:00', '2000-02-01 00:45:00',
               '2000-02-01 01:00:00', '2000-02-01 01:15:00',
               '2000-02-01 01:30:00', '2000-02-01 01:45:00',
               '2000-02-01 02:00:00', '2000-02-01 02:15:00',
               ...
               '2000-02-27 06:45:00', '2000-02-27 07:00:00',
               '2000-02-27 07:15:00', '2000-02-27 07:30:00',
               '2000-02-27 07:45:00', '2000-02-27 08:00:00',
               '2000-02-27 08:15:00', '2000-02-27 08:30:00',
               '2000-02-27 08:45:00', '2000-02-27 09:00:00'],
              dtype='datetime64[ns]', length=910, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-2-1T00 to 2000-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-2-1T00 to 2000-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-03-01 00:00:00', '2000-03-01 00:15:00',
               '2000-03-01 00:30:00', '2000-03-01 00:45:00',
               '2000-03-01 01:00:00', '2000-03-01 01:15:00',
               '2000-03-01 01:30:00', '2000-03-01 01:45:00',
               '2000-03-01 02:00:00', '2000-03-01 02:15:00',
               ...
               '2000-03-30 06:30:00', '2000-03-30 06:45:00',
               '2000-03-30 07:00:00', '2000-03-30 07:15:00',
               '2000-03-30 07:30:00', '2000-03-30 07:45:00',
               '2000-03-30 08:00:00', '2000-03-30 08:15:00',
               '2000-03-30 08:30:00', '2000-03-30 08:45:00'],
              dtype='datetime64[ns]', length=2820, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-03-01 00:00:00', '2000-03-01 00:15:00',
               '2000-03-01 00:30:00', '2000-03-01 00:45:00',
               '2000-03-01 01:00:00', '2000-03-01 01:15:00',
               '2000-03-01 01:30:00', '2000-03-01 01:45:00',
               '2000-03-01 02:00:00', '2000-03-01 02:15:00',
               ...
               '2000-03-29 06:45:00', '2000-03-29 07:00:00',
               '2000-03-29 07:15:00', '2000-03-29 07:30:00',
               '2000-03-29 07:45:00', '2000-03-29 08:00:00',
               '2000-03-29 08:15:00', '2000-03-29 08:30:00',
               '2000-03-29 08:45:00', '2000-03-29 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-03-01 00:00:00', '2000-03-01 00:15:00',
               '2000-03-01 00:30:00', '2000-03-01 00:45:00',
               '2000-03-01 01:00:00', '2000-03-01 01:15:00',
               '2000-03-01 01:30:00', '2000-03-01 01:45:00',
               '2000-03-01 02:00:00', '2000-03-01 02:15:00',
               ...
               '2000-03-29 06:30:00', '2000-03-29 06:45:00',
               '2000-03-29 07:00:00', '2000-03-29 07:15:00',
               '2000-03-29 07:30:00', '2000-03-29 07:45:00',
               '2000-03-29 08:00:00', '2000-03-29 08:15:00',
               '2000-03-29 08:30:00', '2000-03-29 08:45:00'],
              dtype='datetime64[ns]', length=2724, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-03-01 00:00:00', '2000-03-01 00:15:00',
               '2000-03-01 00:30:00', '2000-03-01 00:45:00',
               '2000-03-01 01:00:00', '2000-03-01 01:15:00',
               '2000-03-01 01:30:00', '2000-03-01 01:45:00',
               '2000-03-01 02:00:00', '2000-03-01 02:15:00',
               '2000-03-01 02:30:00', '2000-03-01 02:45:00',
               '2000-03-01 03:00:00', '2000-03-01 03:15:00',
               '2000-03-01 03:30:00', '2000-03-01 03:45:00',
               '2000-03-01 04:00:00', '2000-03-01 04:15:00',
               '2000-03-01 04:30:00', '2000-03-01 04:45:00',
               '2000-03-01 05:00:00', '2000-03-01 05:15:00',
               '2000-03-01 05:30:00', '2000-03-01 05:45:00',
               '2000-03-01 06:00:00', '2000-03-01 06:15:00',
               '2000-03-01 06:30:00', '2000-03-01 06:45:00',
               '2000-03-01 07:00:00', '2000-03-01 07:15:00',
               '2000-03-01 07:30:00', '2000-03-01 07:45:00',
               '2000-03-01 08:00:00', '2000-03-01 08:15:00',
               '2000-03-01 08:30:00', '2000-03-01 08:45:00',
               '2000-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-03-01 00:00:00', '2000-03-01 00:15:00',
               '2000-03-01 00:30:00', '2000-03-01 00:45:00',
               '2000-03-01 01:00:00', '2000-03-01 01:15:00',
               '2000-03-01 01:30:00', '2000-03-01 01:45:00',
               '2000-03-01 02:00:00', '2000-03-01 02:15:00',
               ...
               '2000-03-31 20:45:00', '2000-03-31 21:00:00',
               '2000-03-31 21:15:00', '2000-03-31 21:30:00',
               '2000-03-31 21:45:00', '2000-03-31 22:00:00',
               '2000-03-31 22:15:00', '2000-03-31 22:30:00',
               '2000-03-31 22:45:00', '2000-03-31 23:00:00'],
              dtype='datetime64[ns]', length=769, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-03-01 00:00:00', '2000-03-01 00:15:00',
               '2000-03-01 00:30:00', '2000-03-01 00:45:00',
               '2000-03-01 01:00:00', '2000-03-01 01:15:00',
               '2000-03-01 01:30:00', '2000-03-01 01:45:00',
               '2000-03-01 02:00:00', '2000-03-01 02:15:00',
               '2000-03-01 02:30:00', '2000-03-01 02:45:00',
               '2000-03-01 03:00:00', '2000-03-01 03:15:00',
               '2000-03-01 03:30:00', '2000-03-01 03:45:00',
               '2000-03-01 04:00:00', '2000-03-01 04:15:00',
               '2000-03-01 04:30:00', '2000-03-01 04:45:00',
               '2000-03-01 05:00:00', '2000-03-01 05:15:00',
               '2000-03-01 05:30:00', '2000-03-01 05:45:00',
               '2000-03-01 06:00:00', '2000-03-01 06:15:00',
               '2000-03-01 06:30:00', '2000-03-01 06:45:00',
               '2000-03-01 07:00:00', '2000-03-01 07:15:00',
               '2000-03-01 07:30:00', '2000-03-01 07:45:00',
               '2000-03-01 08:00:00', '2000-03-01 08:15:00',
               '2000-03-01 08:30:00', '2000-03-01 08:45:00',
               '2000-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-3-1T00 to 2000-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-3-1T00 to 2000-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-04-01 00:00:00', '2000-04-01 00:15:00',
               '2000-04-01 00:30:00', '2000-04-01 00:45:00',
               '2000-04-01 01:00:00', '2000-04-01 01:15:00',
               '2000-04-01 01:30:00', '2000-04-01 01:45:00',
               '2000-04-01 02:00:00', '2000-04-01 02:15:00',
               '2000-04-01 02:30:00', '2000-04-01 02:45:00',
               '2000-04-01 03:00:00', '2000-04-01 03:15:00',
               '2000-04-01 03:30:00', '2000-04-01 03:45:00',
               '2000-04-01 04:00:00', '2000-04-01 04:15:00',
               '2000-04-01 04:30:00', '2000-04-01 04:45:00',
               '2000-04-01 05:00:00', '2000-04-01 05:15:00',
               '2000-04-01 05:30:00', '2000-04-01 05:45:00',
               '2000-04-01 06:00:00', '2000-04-01 06:15:00',
               '2000-04-01 06:30:00', '2000-04-01 06:45:00',
               '2000-04-01 07:00:00', '2000-04-01 07:15:00',
               '2000-04-01 07:30:00', '2000-04-01 07:45:00',
               '2000-04-01 08:00:00', '2000-04-01 08:15:00',
               '2000-04-01 08:30:00', '2000-04-01 08:45:00',
               '2000-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-04-01 00:00:00', '2000-04-01 00:15:00',
               '2000-04-01 00:30:00', '2000-04-01 00:45:00',
               '2000-04-01 01:00:00', '2000-04-01 01:15:00',
               '2000-04-01 01:30:00', '2000-04-01 01:45:00',
               '2000-04-01 02:00:00', '2000-04-01 02:15:00',
               '2000-04-01 02:30:00', '2000-04-01 02:45:00',
               '2000-04-01 03:00:00', '2000-04-01 03:15:00',
               '2000-04-01 03:30:00', '2000-04-01 03:45:00',
               '2000-04-01 04:00:00', '2000-04-01 04:15:00',
               '2000-04-01 04:30:00', '2000-04-01 04:45:00',
               '2000-04-01 05:00:00', '2000-04-01 05:15:00',
               '2000-04-01 05:30:00', '2000-04-01 05:45:00',
               '2000-04-01 06:00:00', '2000-04-01 06:15:00',
               '2000-04-01 06:30:00', '2000-04-01 06:45:00',
               '2000-04-01 07:00:00', '2000-04-01 07:15:00',
               '2000-04-01 07:30:00', '2000-04-01 07:45:00',
               '2000-04-01 08:00:00', '2000-04-01 08:15:00',
               '2000-04-01 08:30:00', '2000-04-01 08:45:00',
               '2000-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-04-01 00:00:00', '2000-04-01 00:15:00',
               '2000-04-01 00:30:00', '2000-04-01 00:45:00',
               '2000-04-01 01:00:00', '2000-04-01 01:15:00',
               '2000-04-01 01:30:00', '2000-04-01 01:45:00',
               '2000-04-01 02:00:00', '2000-04-01 02:15:00',
               '2000-04-01 02:30:00', '2000-04-01 02:45:00',
               '2000-04-01 03:00:00', '2000-04-01 03:15:00',
               '2000-04-01 03:30:00', '2000-04-01 03:45:00',
               '2000-04-01 04:00:00', '2000-04-01 04:15:00',
               '2000-04-01 04:30:00', '2000-04-01 04:45:00',
               '2000-04-01 05:00:00', '2000-04-01 05:15:00',
               '2000-04-01 05:30:00', '2000-04-01 05:45:00',
               '2000-04-01 06:00:00', '2000-04-01 06:15:00',
               '2000-04-01 06:30:00', '2000-04-01 06:45:00',
               '2000-04-01 07:00:00', '2000-04-01 07:15:00',
               '2000-04-01 07:30:00', '2000-04-01 07:45:00',
               '2000-04-01 08:00:00', '2000-04-01 08:15:00',
               '2000-04-01 08:30:00', '2000-04-01 08:45:00',
               '2000-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-04-01 00:00:00', '2000-04-01 00:15:00',
               '2000-04-01 00:30:00', '2000-04-01 00:45:00',
               '2000-04-01 01:00:00', '2000-04-01 01:15:00',
               '2000-04-01 01:30:00', '2000-04-01 01:45:00',
               '2000-04-01 02:00:00', '2000-04-01 02:15:00',
               '2000-04-01 02:30:00', '2000-04-01 02:45:00',
               '2000-04-01 03:00:00', '2000-04-01 03:15:00',
               '2000-04-01 03:30:00', '2000-04-01 03:45:00',
               '2000-04-01 04:00:00', '2000-04-01 04:15:00',
               '2000-04-01 04:30:00', '2000-04-01 04:45:00',
               '2000-04-01 05:00:00', '2000-04-01 05:15:00',
               '2000-04-01 05:30:00', '2000-04-01 05:45:00',
               '2000-04-01 06:00:00', '2000-04-01 06:15:00',
               '2000-04-01 06:30:00', '2000-04-01 06:45:00',
               '2000-04-01 07:00:00', '2000-04-01 07:15:00',
               '2000-04-01 07:30:00', '2000-04-01 07:45:00',
               '2000-04-01 08:00:00', '2000-04-01 08:15:00',
               '2000-04-01 08:30:00', '2000-04-01 08:45:00',
               '2000-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-04-01 00:00:00', '2000-04-01 00:15:00',
               '2000-04-01 00:30:00', '2000-04-01 00:45:00',
               '2000-04-01 01:00:00', '2000-04-01 01:15:00',
               '2000-04-01 01:30:00', '2000-04-01 01:45:00',
               '2000-04-01 02:00:00', '2000-04-01 02:15:00',
               ...
               '2000-04-08 05:45:00', '2000-04-08 06:00:00',
               '2000-04-08 06:15:00', '2000-04-08 06:30:00',
               '2000-04-08 06:45:00', '2000-04-08 07:00:00',
               '2000-04-08 07:15:00', '2000-04-08 07:30:00',
               '2000-04-08 07:45:00', '2000-04-08 08:00:00'],
              dtype='datetime64[ns]', length=611, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-04-01 00:00:00', '2000-04-01 00:15:00',
               '2000-04-01 00:30:00', '2000-04-01 00:45:00',
               '2000-04-01 01:00:00', '2000-04-01 01:15:00',
               '2000-04-01 01:30:00', '2000-04-01 01:45:00',
               '2000-04-01 02:00:00', '2000-04-01 02:15:00',
               '2000-04-01 02:30:00', '2000-04-01 02:45:00',
               '2000-04-01 03:00:00', '2000-04-01 03:15:00',
               '2000-04-01 03:30:00', '2000-04-01 03:45:00',
               '2000-04-01 04:00:00', '2000-04-01 04:15:00',
               '2000-04-01 04:30:00', '2000-04-01 04:45:00',
               '2000-04-01 05:00:00', '2000-04-01 05:15:00',
               '2000-04-01 05:30:00', '2000-04-01 05:45:00',
               '2000-04-01 06:00:00', '2000-04-01 06:15:00',
               '2000-04-01 06:30:00', '2000-04-01 06:45:00',
               '2000-04-01 07:00:00', '2000-04-01 07:15:00',
               '2000-04-01 07:30:00', '2000-04-01 07:45:00',
               '2000-04-01 08:00:00', '2000-04-01 08:15:00',
               '2000-04-01 08:30:00', '2000-04-01 08:45:00',
               '2000-04-01 09:00:00', '2000-04-06 20:15:00',
               '2000-04-06 20:30:00', '2000-04-06 20:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-04-10 08:00:00', '2000-04-10 08:15:00',
               '2000-04-10 08:30:00', '2000-04-10 08:45:00',
               '2000-04-10 09:00:00', '2000-04-10 09:15:00',
               '2000-04-10 09:30:00', '2000-04-10 09:45:00',
               '2000-04-10 10:00:00', '2000-04-10 10:15:00',
               ...
               '2000-04-26 05:30:00', '2000-04-26 05:45:00',
               '2000-04-26 06:00:00', '2000-04-26 06:15:00',
               '2000-04-26 06:30:00', '2000-04-26 06:45:00',
               '2000-04-26 07:00:00', '2000-04-26 07:15:00',
               '2000-04-26 07:30:00', '2000-04-26 07:45:00'],
              dtype='datetime64[ns]', length=1536, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-04-01 00:00:00', '2000-04-01 00:15:00',
               '2000-04-01 00:30:00', '2000-04-01 00:45:00',
               '2000-04-01 01:00:00', '2000-04-01 01:15:00',
               '2000-04-01 01:30:00', '2000-04-01 01:45:00',
               '2000-04-01 02:00:00', '2000-04-01 02:15:00',
               ...
               '2000-04-08 05:45:00', '2000-04-08 06:00:00',
               '2000-04-08 06:15:00', '2000-04-08 06:30:00',
               '2000-04-08 06:45:00', '2000-04-08 07:00:00',
               '2000-04-08 07:15:00', '2000-04-08 07:30:00',
               '2000-04-08 07:45:00', '2000-04-08 08:00:00'],
              dtype='datetime64[ns]', length=705, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-4-1T00 to 2000-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-4-1T00 to 2000-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               '2000-05-01 02:30:00', '2000-05-01 02:45:00',
               '2000-05-01 03:00:00', '2000-05-01 03:15:00',
               '2000-05-01 03:30:00', '2000-05-01 03:45:00',
               '2000-05-01 04:00:00', '2000-05-01 04:15:00',
               '2000-05-01 04:30:00', '2000-05-01 04:45:00',
               '2000-05-01 05:00:00', '2000-05-01 05:15:00',
               '2000-05-01 05:30:00', '2000-05-01 05:45:00',
               '2000-05-01 06:00:00', '2000-05-01 06:15:00',
               '2000-05-01 06:30:00', '2000-05-01 06:45:00',
               '2000-05-01 07:00:00', '2000-05-01 07:15:00',
               '2000-05-01 07:30:00', '2000-05-01 07:45:00',
               '2000-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               '2000-05-01 02:30:00', '2000-05-01 02:45:00',
               '2000-05-01 03:00:00', '2000-05-01 03:15:00',
               '2000-05-01 03:30:00', '2000-05-01 03:45:00',
               '2000-05-01 04:00:00', '2000-05-01 04:15:00',
               '2000-05-01 04:30:00', '2000-05-01 04:45:00',
               '2000-05-01 05:00:00', '2000-05-01 05:15:00',
               '2000-05-01 05:30:00', '2000-05-01 05:45:00',
               '2000-05-01 06:00:00', '2000-05-01 06:15:00',
               '2000-05-01 06:30:00', '2000-05-01 06:45:00',
               '2000-05-01 07:00:00', '2000-05-01 07:15:00',
               '2000-05-01 07:30:00', '2000-05-01 07:45:00',
               '2000-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               '2000-05-01 02:30:00', '2000-05-01 02:45:00',
               '2000-05-01 03:00:00', '2000-05-01 03:15:00',
               '2000-05-01 03:30:00', '2000-05-01 03:45:00',
               '2000-05-01 04:00:00', '2000-05-01 04:15:00',
               '2000-05-01 04:30:00', '2000-05-01 04:45:00',
               '2000-05-01 05:00:00', '2000-05-01 05:15:00',
               '2000-05-01 05:30:00', '2000-05-01 05:45:00',
               '2000-05-01 06:00:00', '2000-05-01 06:15:00',
               '2000-05-01 06:30:00', '2000-05-01 06:45:00',
               '2000-05-01 07:00:00', '2000-05-01 07:15:00',
               '2000-05-01 07:30:00', '2000-05-01 07:45:00',
               '2000-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               '2000-05-01 02:30:00', '2000-05-01 02:45:00',
               '2000-05-01 03:00:00', '2000-05-01 03:15:00',
               '2000-05-01 03:30:00', '2000-05-01 03:45:00',
               '2000-05-01 04:00:00', '2000-05-01 04:15:00',
               '2000-05-01 04:30:00', '2000-05-01 04:45:00',
               '2000-05-01 05:00:00', '2000-05-01 05:15:00',
               '2000-05-01 05:30:00', '2000-05-01 05:45:00',
               '2000-05-01 06:00:00', '2000-05-01 06:15:00',
               '2000-05-01 06:30:00', '2000-05-01 06:45:00',
               '2000-05-01 07:00:00', '2000-05-01 07:15:00',
               '2000-05-01 07:30:00', '2000-05-01 07:45:00',
               '2000-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               ...
               '2000-05-07 06:45:00', '2000-05-07 07:00:00',
               '2000-05-07 07:15:00', '2000-05-07 07:30:00',
               '2000-05-07 07:45:00', '2000-05-07 08:00:00',
               '2000-05-25 21:15:00', '2000-05-25 21:30:00',
               '2000-05-25 21:45:00', '2000-05-25 22:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               ...
               '2000-05-31 20:45:00', '2000-05-31 21:00:00',
               '2000-05-31 21:15:00', '2000-05-31 21:30:00',
               '2000-05-31 21:45:00', '2000-05-31 22:00:00',
               '2000-05-31 22:15:00', '2000-05-31 22:30:00',
               '2000-05-31 22:45:00', '2000-05-31 23:00:00'],
              dtype='datetime64[ns]', length=191, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               '2000-05-01 02:30:00', '2000-05-01 02:45:00',
               '2000-05-01 03:00:00', '2000-05-01 03:15:00',
               '2000-05-01 03:30:00', '2000-05-01 03:45:00',
               '2000-05-01 04:00:00', '2000-05-01 04:15:00',
               '2000-05-01 04:30:00', '2000-05-01 04:45:00',
               '2000-05-01 05:00:00', '2000-05-01 05:15:00',
               '2000-05-01 05:30:00', '2000-05-01 05:45:00',
               '2000-05-01 06:00:00', '2000-05-01 06:15:00',
               '2000-05-01 06:30:00', '2000-05-01 06:45:00',
               '2000-05-01 07:00:00', '2000-05-01 07:15:00',
               '2000-05-01 07:30:00', '2000-05-01 07:45:00',
               '2000-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-05-01 00:00:00', '2000-05-01 00:15:00',
               '2000-05-01 00:30:00', '2000-05-01 00:45:00',
               '2000-05-01 01:00:00', '2000-05-01 01:15:00',
               '2000-05-01 01:30:00', '2000-05-01 01:45:00',
               '2000-05-01 02:00:00', '2000-05-01 02:15:00',
               ...
               '2000-05-20 05:30:00', '2000-05-20 05:45:00',
               '2000-05-20 06:00:00', '2000-05-20 06:15:00',
               '2000-05-20 06:30:00', '2000-05-20 06:45:00',
               '2000-05-20 07:00:00', '2000-05-20 07:15:00',
               '2000-05-20 07:30:00', '2000-05-20 07:45:00'],
              dtype='datetime64[ns]', length=1856, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-05-23 07:45:00', '2000-05-23 08:00:00',
               '2000-05-23 08:15:00', '2000-05-23 08:30:00',
               '2000-05-23 08:45:00', '2000-05-23 09:00:00',
               '2000-05-23 09:15:00', '2000-05-23 09:30:00',
               '2000-05-23 09:45:00', '2000-05-23 10:00:00',
               ...
               '2000-05-27 05:45:00', '2000-05-27 06:00:00',
               '2000-05-27 06:15:00', '2000-05-27 06:30:00',
               '2000-05-27 06:45:00', '2000-05-27 07:00:00',
               '2000-05-27 07:15:00', '2000-05-27 07:30:00',
               '2000-05-27 07:45:00', '2000-05-27 08:00:00'],
              dtype='datetime64[ns]', length=386, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-5-1T00 to 2000-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-5-1T00 to 2000-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               '2000-06-01 02:30:00', '2000-06-01 02:45:00',
               '2000-06-01 03:00:00', '2000-06-01 03:15:00',
               '2000-06-01 03:30:00', '2000-06-01 03:45:00',
               '2000-06-01 04:00:00', '2000-06-01 04:15:00',
               '2000-06-01 04:30:00', '2000-06-01 04:45:00',
               '2000-06-01 05:00:00', '2000-06-01 05:15:00',
               '2000-06-01 05:30:00', '2000-06-01 05:45:00',
               '2000-06-01 06:00:00', '2000-06-01 06:15:00',
               '2000-06-01 06:30:00', '2000-06-01 06:45:00',
               '2000-06-01 07:00:00', '2000-06-01 07:15:00',
               '2000-06-01 07:30:00', '2000-06-01 07:45:00',
               '2000-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               '2000-06-01 02:30:00', '2000-06-01 02:45:00',
               '2000-06-01 03:00:00', '2000-06-01 03:15:00',
               '2000-06-01 03:30:00', '2000-06-01 03:45:00',
               '2000-06-01 04:00:00', '2000-06-01 04:15:00',
               '2000-06-01 04:30:00', '2000-06-01 04:45:00',
               '2000-06-01 05:00:00', '2000-06-01 05:15:00',
               '2000-06-01 05:30:00', '2000-06-01 05:45:00',
               '2000-06-01 06:00:00', '2000-06-01 06:15:00',
               '2000-06-01 06:30:00', '2000-06-01 06:45:00',
               '2000-06-01 07:00:00', '2000-06-01 07:15:00',
               '2000-06-01 07:30:00', '2000-06-01 07:45:00',
               '2000-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               '2000-06-01 02:30:00', '2000-06-01 02:45:00',
               '2000-06-01 03:00:00', '2000-06-01 03:15:00',
               '2000-06-01 03:30:00', '2000-06-01 03:45:00',
               '2000-06-01 04:00:00', '2000-06-01 04:15:00',
               '2000-06-01 04:30:00', '2000-06-01 04:45:00',
               '2000-06-01 05:00:00', '2000-06-01 05:15:00',
               '2000-06-01 05:30:00', '2000-06-01 05:45:00',
               '2000-06-01 06:00:00', '2000-06-01 06:15:00',
               '2000-06-01 06:30:00', '2000-06-01 06:45:00',
               '2000-06-01 07:00:00', '2000-06-01 07:15:00',
               '2000-06-01 07:30:00', '2000-06-01 07:45:00',
               '2000-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               '2000-06-01 02:30:00', '2000-06-01 02:45:00',
               '2000-06-01 03:00:00', '2000-06-01 03:15:00',
               '2000-06-01 03:30:00', '2000-06-01 03:45:00',
               '2000-06-01 04:00:00', '2000-06-01 04:15:00',
               '2000-06-01 04:30:00', '2000-06-01 04:45:00',
               '2000-06-01 05:00:00', '2000-06-01 05:15:00',
               '2000-06-01 05:30:00', '2000-06-01 05:45:00',
               '2000-06-01 06:00:00', '2000-06-01 06:15:00',
               '2000-06-01 06:30:00', '2000-06-01 06:45:00',
               '2000-06-01 07:00:00', '2000-06-01 07:15:00',
               '2000-06-01 07:30:00', '2000-06-01 07:45:00',
               '2000-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               '2000-06-01 02:30:00', '2000-06-01 02:45:00',
               '2000-06-01 03:00:00', '2000-06-01 03:15:00',
               '2000-06-01 03:30:00', '2000-06-01 03:45:00',
               '2000-06-01 04:00:00', '2000-06-01 04:15:00',
               '2000-06-01 04:30:00', '2000-06-01 04:45:00',
               '2000-06-01 05:00:00', '2000-06-01 05:15:00',
               '2000-06-01 05:30:00', '2000-06-01 05:45:00',
               '2000-06-01 06:00:00', '2000-06-01 06:15:00',
               '2000-06-01 06:30:00', '2000-06-01 06:45:00',
               '2000-06-01 07:00:00', '2000-06-01 07:15:00',
               '2000-06-01 07:30:00', '2000-06-01 07:45:00',
               '2000-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               ...
               '2000-06-30 05:45:00', '2000-06-30 06:00:00',
               '2000-06-30 06:15:00', '2000-06-30 06:30:00',
               '2000-06-30 06:45:00', '2000-06-30 07:00:00',
               '2000-06-30 07:15:00', '2000-06-30 07:30:00',
               '2000-06-30 07:45:00', '2000-06-30 08:00:00'],
              dtype='datetime64[ns]', length=718, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               '2000-06-01 02:30:00', '2000-06-01 02:45:00',
               '2000-06-01 03:00:00', '2000-06-01 03:15:00',
               '2000-06-01 03:30:00', '2000-06-01 03:45:00',
               '2000-06-01 04:00:00', '2000-06-01 04:15:00',
               '2000-06-01 04:30:00', '2000-06-01 04:45:00',
               '2000-06-01 05:00:00', '2000-06-01 05:15:00',
               '2000-06-01 05:30:00', '2000-06-01 05:45:00',
               '2000-06-01 06:00:00', '2000-06-01 06:15:00',
               '2000-06-01 06:30:00', '2000-06-01 06:45:00',
               '2000-06-01 07:00:00', '2000-06-01 07:15:00',
               '2000-06-01 07:30:00', '2000-06-01 07:45:00',
               '2000-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-06-01 00:00:00', '2000-06-01 00:15:00',
               '2000-06-01 00:30:00', '2000-06-01 00:45:00',
               '2000-06-01 01:00:00', '2000-06-01 01:15:00',
               '2000-06-01 01:30:00', '2000-06-01 01:45:00',
               '2000-06-01 02:00:00', '2000-06-01 02:15:00',
               '2000-06-01 02:30:00', '2000-06-01 02:45:00',
               '2000-06-01 03:00:00', '2000-06-01 03:15:00',
               '2000-06-01 03:30:00', '2000-06-01 03:45:00',
               '2000-06-01 04:00:00', '2000-06-01 04:15:00',
               '2000-06-01 04:30:00', '2000-06-01 04:45:00',
               '2000-06-01 05:00:00', '2000-06-01 05:15:00',
               '2000-06-01 05:30:00', '2000-06-01 05:45:00',
               '2000-06-01 06:00:00', '2000-06-01 06:15:00',
               '2000-06-01 06:30:00', '2000-06-01 06:45:00',
               '2000-06-01 07:00:00', '2000-06-01 07:15:00',
               '2000-06-01 07:30:00', '2000-06-01 07:45:00',
               '2000-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-6-1T00 to 2000-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-6-1T00 to 2000-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00', '2000-07-31 07:45:00',
               '2000-07-31 08:00:00', '2000-07-31 08:15:00',
               '2000-07-31 08:30:00', '2000-07-31 08:45:00',
               '2000-07-31 09:00:00', '2000-07-31 09:15:00',
               '2000-07-31 09:30:00', '2000-07-31 09:45:00',
               '2000-07-31 10:00:00', '2000-07-31 10:15:00',
               '2000-07-31 10:30:00', '2000-07-31 10:45:00',
               '2000-07-31 11:00:00', '2000-07-31 11:15:00',
               '2000-07-31 11:30:00', '2000-07-31 11:45:00',
               '2000-07-31 12:00:00', '2000-07-31 12:15:00',
               '2000-07-31 12:30:00', '2000-07-31 12:45:00',
               '2000-07-31 13:00:00', '2000-07-31 13:15:00',
               '2000-07-31 13:30:00', '2000-07-31 13:45:00',
               '2000-07-31 14:00:00', '2000-07-31 14:15:00',
               '2000-07-31 14:30:00', '2000-07-31 14:45:00',
               '2000-07-31 15:00:00', '2000-07-31 15:15:00',
               '2000-07-31 15:30:00', '2000-07-31 15:45:00',
               '2000-07-31 16:00:00', '2000-07-31 16:15:00',
               '2000-07-31 16:30:00', '2000-07-31 16:45:00',
               '2000-07-31 17:00:00', '2000-07-31 17:15:00',
               '2000-07-31 17:30:00', '2000-07-31 17:45:00',
               '2000-07-31 18:00:00', '2000-07-31 18:15:00',
               '2000-07-31 18:30:00', '2000-07-31 18:45:00',
               '2000-07-31 19:00:00', '2000-07-31 19:15:00',
               '2000-07-31 19:30:00', '2000-07-31 19:45:00',
               '2000-07-31 20:00:00', '2000-07-31 20:15:00',
               '2000-07-31 20:30:00', '2000-07-31 20:45:00',
               '2000-07-31 21:00:00', '2000-07-31 21:15:00',
               '2000-07-31 21:30:00', '2000-07-31 21:45:00',
               '2000-07-31 22:00:00', '2000-07-31 22:15:00',
               '2000-07-31 22:30:00', '2000-07-31 22:45:00',
               '2000-07-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-07-01 00:00:00', '2000-07-01 00:15:00',
               '2000-07-01 00:30:00', '2000-07-01 00:45:00',
               '2000-07-01 01:00:00', '2000-07-01 01:15:00',
               '2000-07-01 01:30:00', '2000-07-01 01:45:00',
               '2000-07-01 02:00:00', '2000-07-01 02:15:00',
               '2000-07-01 02:30:00', '2000-07-01 02:45:00',
               '2000-07-01 03:00:00', '2000-07-01 03:15:00',
               '2000-07-01 03:30:00', '2000-07-01 03:45:00',
               '2000-07-01 04:00:00', '2000-07-01 04:15:00',
               '2000-07-01 04:30:00', '2000-07-01 04:45:00',
               '2000-07-01 05:00:00', '2000-07-01 05:15:00',
               '2000-07-01 05:30:00', '2000-07-01 05:45:00',
               '2000-07-01 06:00:00', '2000-07-01 06:15:00',
               '2000-07-01 06:30:00', '2000-07-01 06:45:00',
               '2000-07-01 07:00:00', '2000-07-01 07:15:00',
               '2000-07-01 07:30:00', '2000-07-01 07:45:00',
               '2000-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-7-1T00 to 2000-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-7-1T00 to 2000-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               '2000-08-01 02:30:00', '2000-08-01 02:45:00',
               '2000-08-01 03:00:00', '2000-08-01 03:15:00',
               '2000-08-01 03:30:00', '2000-08-01 03:45:00',
               '2000-08-01 04:00:00', '2000-08-01 04:15:00',
               '2000-08-01 04:30:00', '2000-08-01 04:45:00',
               '2000-08-01 05:00:00', '2000-08-01 05:15:00',
               '2000-08-01 05:30:00', '2000-08-01 05:45:00',
               '2000-08-01 06:00:00', '2000-08-01 06:15:00',
               '2000-08-01 06:30:00', '2000-08-01 06:45:00',
               '2000-08-01 07:00:00', '2000-08-01 07:15:00',
               '2000-08-01 07:30:00', '2000-08-01 07:45:00',
               '2000-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               '2000-08-01 02:30:00', '2000-08-01 02:45:00',
               '2000-08-01 03:00:00', '2000-08-01 03:15:00',
               '2000-08-01 03:30:00', '2000-08-01 03:45:00',
               '2000-08-01 04:00:00', '2000-08-01 04:15:00',
               '2000-08-01 04:30:00', '2000-08-01 04:45:00',
               '2000-08-01 05:00:00', '2000-08-01 05:15:00',
               '2000-08-01 05:30:00', '2000-08-01 05:45:00',
               '2000-08-01 06:00:00', '2000-08-01 06:15:00',
               '2000-08-01 06:30:00', '2000-08-01 06:45:00',
               '2000-08-01 07:00:00', '2000-08-01 07:15:00',
               '2000-08-01 07:30:00', '2000-08-01 07:45:00',
               '2000-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               '2000-08-01 02:30:00', '2000-08-01 02:45:00',
               '2000-08-01 03:00:00', '2000-08-01 03:15:00',
               '2000-08-01 03:30:00', '2000-08-01 03:45:00',
               '2000-08-01 04:00:00', '2000-08-01 04:15:00',
               '2000-08-01 04:30:00', '2000-08-01 04:45:00',
               '2000-08-01 05:00:00', '2000-08-01 05:15:00',
               '2000-08-01 05:30:00', '2000-08-01 05:45:00',
               '2000-08-01 06:00:00', '2000-08-01 06:15:00',
               '2000-08-01 06:30:00', '2000-08-01 06:45:00',
               '2000-08-01 07:00:00', '2000-08-01 07:15:00',
               '2000-08-01 07:30:00', '2000-08-01 07:45:00',
               '2000-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               '2000-08-01 02:30:00', '2000-08-01 02:45:00',
               '2000-08-01 03:00:00', '2000-08-01 03:15:00',
               '2000-08-01 03:30:00', '2000-08-01 03:45:00',
               '2000-08-01 04:00:00', '2000-08-01 04:15:00',
               '2000-08-01 04:30:00', '2000-08-01 04:45:00',
               '2000-08-01 05:00:00', '2000-08-01 05:15:00',
               '2000-08-01 05:30:00', '2000-08-01 05:45:00',
               '2000-08-01 06:00:00', '2000-08-01 06:15:00',
               '2000-08-01 06:30:00', '2000-08-01 06:45:00',
               '2000-08-01 07:00:00', '2000-08-01 07:15:00',
               '2000-08-01 07:30:00', '2000-08-01 07:45:00',
               '2000-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               ...
               '2000-08-02 05:45:00', '2000-08-02 06:00:00',
               '2000-08-02 06:15:00', '2000-08-02 06:30:00',
               '2000-08-02 06:45:00', '2000-08-02 07:00:00',
               '2000-08-02 07:15:00', '2000-08-02 07:30:00',
               '2000-08-02 07:45:00', '2000-08-02 08:00:00'],
              dtype='datetime64[ns]', length=129, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               '2000-08-01 02:30:00', '2000-08-01 02:45:00',
               '2000-08-01 03:00:00', '2000-08-01 03:15:00',
               '2000-08-01 03:30:00', '2000-08-01 03:45:00',
               '2000-08-01 04:00:00', '2000-08-01 04:15:00',
               '2000-08-01 04:30:00', '2000-08-01 04:45:00',
               '2000-08-01 05:00:00', '2000-08-01 05:15:00',
               '2000-08-01 05:30:00', '2000-08-01 05:45:00',
               '2000-08-01 06:00:00', '2000-08-01 06:15:00',
               '2000-08-01 06:30:00', '2000-08-01 06:45:00',
               '2000-08-01 07:00:00', '2000-08-01 07:15:00',
               '2000-08-01 07:30:00', '2000-08-01 07:45:00',
               '2000-08-01 08:00:00', '2000-08-18 16:30:00',
               '2000-08-18 16:45:00', '2000-08-18 17:00:00',
               '2000-08-18 17:15:00', '2000-08-18 17:30:00',
               '2000-08-31 21:00:00', '2000-08-31 21:15:00',
               '2000-08-31 21:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               '2000-08-01 02:30:00', '2000-08-01 02:45:00',
               '2000-08-01 03:00:00', '2000-08-01 03:15:00',
               '2000-08-01 03:30:00', '2000-08-01 03:45:00',
               '2000-08-01 04:00:00', '2000-08-01 04:15:00',
               '2000-08-01 04:30:00', '2000-08-01 04:45:00',
               '2000-08-01 05:00:00', '2000-08-01 05:15:00',
               '2000-08-01 05:30:00', '2000-08-01 05:45:00',
               '2000-08-01 06:00:00', '2000-08-01 06:15:00',
               '2000-08-01 06:30:00', '2000-08-01 06:45:00',
               '2000-08-01 07:00:00', '2000-08-01 07:15:00',
               '2000-08-01 07:30:00', '2000-08-01 07:45:00',
               '2000-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-08-01 00:00:00', '2000-08-01 00:15:00',
               '2000-08-01 00:30:00', '2000-08-01 00:45:00',
               '2000-08-01 01:00:00', '2000-08-01 01:15:00',
               '2000-08-01 01:30:00', '2000-08-01 01:45:00',
               '2000-08-01 02:00:00', '2000-08-01 02:15:00',
               '2000-08-01 02:30:00', '2000-08-01 02:45:00',
               '2000-08-01 03:00:00', '2000-08-01 03:15:00',
               '2000-08-01 03:30:00', '2000-08-01 03:45:00',
               '2000-08-01 04:00:00', '2000-08-01 04:15:00',
               '2000-08-01 04:30:00', '2000-08-01 04:45:00',
               '2000-08-01 05:00:00', '2000-08-01 05:15:00',
               '2000-08-01 05:30:00', '2000-08-01 05:45:00',
               '2000-08-01 06:00:00', '2000-08-01 06:15:00',
               '2000-08-01 06:30:00', '2000-08-01 06:45:00',
               '2000-08-01 07:00:00', '2000-08-01 07:15:00',
               '2000-08-01 07:30:00', '2000-08-01 07:45:00',
               '2000-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-8-1T00 to 2000-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-8-1T00 to 2000-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               '2000-09-01 02:30:00', '2000-09-01 02:45:00',
               '2000-09-01 03:00:00', '2000-09-01 03:15:00',
               '2000-09-01 03:30:00', '2000-09-01 03:45:00',
               '2000-09-01 04:00:00', '2000-09-01 04:15:00',
               '2000-09-01 04:30:00', '2000-09-01 04:45:00',
               '2000-09-01 05:00:00', '2000-09-01 05:15:00',
               '2000-09-01 05:30:00', '2000-09-01 05:45:00',
               '2000-09-01 06:00:00', '2000-09-01 06:15:00',
               '2000-09-01 06:30:00', '2000-09-01 06:45:00',
               '2000-09-01 07:00:00', '2000-09-01 07:15:00',
               '2000-09-01 07:30:00', '2000-09-01 07:45:00',
               '2000-09-01 08:00:00', '2000-09-30 07:45:00',
               '2000-09-30 08:00:00', '2000-09-30 08:15:00',
               '2000-09-30 08:30:00', '2000-09-30 08:45:00',
               '2000-09-30 09:00:00', '2000-09-30 09:15:00',
               '2000-09-30 09:30:00', '2000-09-30 09:45:00',
               '2000-09-30 10:00:00', '2000-09-30 10:15:00',
               '2000-09-30 10:30:00', '2000-09-30 10:45:00',
               '2000-09-30 11:00:00', '2000-09-30 11:15:00',
               '2000-09-30 11:30:00', '2000-09-30 11:45:00',
               '2000-09-30 12:00:00', '2000-09-30 12:15:00',
               '2000-09-30 12:30:00', '2000-09-30 12:45:00',
               '2000-09-30 13:00:00', '2000-09-30 13:15:00',
               '2000-09-30 13:30:00', '2000-09-30 13:45:00',
               '2000-09-30 14:00:00', '2000-09-30 14:15:00',
               '2000-09-30 14:30:00', '2000-09-30 14:45:00',
               '2000-09-30 15:00:00', '2000-09-30 15:15:00',
               '2000-09-30 15:30:00', '2000-09-30 15:45:00',
               '2000-09-30 16:00:00', '2000-09-30 16:15:00',
               '2000-09-30 16:30:00', '2000-09-30 16:45:00',
               '2000-09-30 17:00:00', '2000-09-30 17:15:00',
               '2000-09-30 17:30:00', '2000-09-30 17:45:00',
               '2000-09-30 18:00:00', '2000-09-30 18:15:00',
               '2000-09-30 18:30:00', '2000-09-30 18:45:00',
               '2000-09-30 19:00:00', '2000-09-30 19:15:00',
               '2000-09-30 19:30:00', '2000-09-30 19:45:00',
               '2000-09-30 20:00:00', '2000-09-30 20:15:00',
               '2000-09-30 20:30:00', '2000-09-30 20:45:00',
               '2000-09-30 21:00:00', '2000-09-30 21:15:00',
               '2000-09-30 21:30:00', '2000-09-30 21:45:00',
               '2000-09-30 22:00:00', '2000-09-30 22:15:00',
               '2000-09-30 22:30:00', '2000-09-30 22:45:00',
               '2000-09-30 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               '2000-09-01 02:30:00', '2000-09-01 02:45:00',
               '2000-09-01 03:00:00', '2000-09-01 03:15:00',
               '2000-09-01 03:30:00', '2000-09-01 03:45:00',
               '2000-09-01 04:00:00', '2000-09-01 04:15:00',
               '2000-09-01 04:30:00', '2000-09-01 04:45:00',
               '2000-09-01 05:00:00', '2000-09-01 05:15:00',
               '2000-09-01 05:30:00', '2000-09-01 05:45:00',
               '2000-09-01 06:00:00', '2000-09-01 06:15:00',
               '2000-09-01 06:30:00', '2000-09-01 06:45:00',
               '2000-09-01 07:00:00', '2000-09-01 07:15:00',
               '2000-09-01 07:30:00', '2000-09-01 07:45:00',
               '2000-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               '2000-09-01 02:30:00', '2000-09-01 02:45:00',
               '2000-09-01 03:00:00', '2000-09-01 03:15:00',
               '2000-09-01 03:30:00', '2000-09-01 03:45:00',
               '2000-09-01 04:00:00', '2000-09-01 04:15:00',
               '2000-09-01 04:30:00', '2000-09-01 04:45:00',
               '2000-09-01 05:00:00', '2000-09-01 05:15:00',
               '2000-09-01 05:30:00', '2000-09-01 05:45:00',
               '2000-09-01 06:00:00', '2000-09-01 06:15:00',
               '2000-09-01 06:30:00', '2000-09-01 06:45:00',
               '2000-09-01 07:00:00', '2000-09-01 07:15:00',
               '2000-09-01 07:30:00', '2000-09-01 07:45:00',
               '2000-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               '2000-09-01 02:30:00', '2000-09-01 02:45:00',
               '2000-09-01 03:00:00', '2000-09-01 03:15:00',
               '2000-09-01 03:30:00', '2000-09-01 03:45:00',
               '2000-09-01 04:00:00', '2000-09-01 04:15:00',
               '2000-09-01 04:30:00', '2000-09-01 04:45:00',
               '2000-09-01 05:00:00', '2000-09-01 05:15:00',
               '2000-09-01 05:30:00', '2000-09-01 05:45:00',
               '2000-09-01 06:00:00', '2000-09-01 06:15:00',
               '2000-09-01 06:30:00', '2000-09-01 06:45:00',
               '2000-09-01 07:00:00', '2000-09-01 07:15:00',
               '2000-09-01 07:30:00', '2000-09-01 07:45:00',
               '2000-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               ...
               '2000-09-30 05:45:00', '2000-09-30 06:00:00',
               '2000-09-30 06:15:00', '2000-09-30 06:30:00',
               '2000-09-30 06:45:00', '2000-09-30 07:00:00',
               '2000-09-30 07:15:00', '2000-09-30 07:30:00',
               '2000-09-30 07:45:00', '2000-09-30 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-09-15 08:00:00', '2000-09-15 08:15:00',
               '2000-09-15 08:30:00', '2000-09-15 08:45:00',
               '2000-09-15 09:00:00', '2000-09-15 09:15:00',
               '2000-09-15 09:30:00', '2000-09-15 09:45:00',
               '2000-09-15 10:00:00', '2000-09-15 10:15:00',
               ...
               '2000-09-27 05:30:00', '2000-09-27 05:45:00',
               '2000-09-27 06:00:00', '2000-09-27 06:15:00',
               '2000-09-27 06:30:00', '2000-09-27 06:45:00',
               '2000-09-27 07:00:00', '2000-09-27 07:15:00',
               '2000-09-27 07:30:00', '2000-09-27 07:45:00'],
              dtype='datetime64[ns]', length=1152, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               '2000-09-01 02:30:00', '2000-09-01 02:45:00',
               '2000-09-01 03:00:00', '2000-09-01 03:15:00',
               '2000-09-01 03:30:00', '2000-09-01 03:45:00',
               '2000-09-01 04:00:00', '2000-09-01 04:15:00',
               '2000-09-01 04:30:00', '2000-09-01 04:45:00',
               '2000-09-01 05:00:00', '2000-09-01 05:15:00',
               '2000-09-01 05:30:00', '2000-09-01 05:45:00',
               '2000-09-01 06:00:00', '2000-09-01 06:15:00',
               '2000-09-01 06:30:00', '2000-09-01 06:45:00',
               '2000-09-01 07:00:00', '2000-09-01 07:15:00',
               '2000-09-01 07:30:00', '2000-09-01 07:45:00',
               '2000-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               '2000-09-01 02:30:00', '2000-09-01 02:45:00',
               '2000-09-01 03:00:00', '2000-09-01 03:15:00',
               '2000-09-01 03:30:00', '2000-09-01 03:45:00',
               '2000-09-01 04:00:00', '2000-09-01 04:15:00',
               '2000-09-01 04:30:00', '2000-09-01 04:45:00',
               '2000-09-01 05:00:00', '2000-09-01 05:15:00',
               '2000-09-01 05:30:00', '2000-09-01 05:45:00',
               '2000-09-01 06:00:00', '2000-09-01 06:15:00',
               '2000-09-01 06:30:00', '2000-09-01 06:45:00',
               '2000-09-01 07:00:00', '2000-09-01 07:15:00',
               '2000-09-01 07:30:00', '2000-09-01 07:45:00',
               '2000-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-09-01 00:00:00', '2000-09-01 00:15:00',
               '2000-09-01 00:30:00', '2000-09-01 00:45:00',
               '2000-09-01 01:00:00', '2000-09-01 01:15:00',
               '2000-09-01 01:30:00', '2000-09-01 01:45:00',
               '2000-09-01 02:00:00', '2000-09-01 02:15:00',
               '2000-09-01 02:30:00', '2000-09-01 02:45:00',
               '2000-09-01 03:00:00', '2000-09-01 03:15:00',
               '2000-09-01 03:30:00', '2000-09-01 03:45:00',
               '2000-09-01 04:00:00', '2000-09-01 04:15:00',
               '2000-09-01 04:30:00', '2000-09-01 04:45:00',
               '2000-09-01 05:00:00', '2000-09-01 05:15:00',
               '2000-09-01 05:30:00', '2000-09-01 05:45:00',
               '2000-09-01 06:00:00', '2000-09-01 06:15:00',
               '2000-09-01 06:30:00', '2000-09-01 06:45:00',
               '2000-09-01 07:00:00', '2000-09-01 07:15:00',
               '2000-09-01 07:30:00', '2000-09-01 07:45:00',
               '2000-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-9-1T00 to 2000-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-9-1T00 to 2000-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               ...
               '2000-10-31 20:45:00', '2000-10-31 21:00:00',
               '2000-10-31 21:15:00', '2000-10-31 21:30:00',
               '2000-10-31 21:45:00', '2000-10-31 22:00:00',
               '2000-10-31 22:15:00', '2000-10-31 22:30:00',
               '2000-10-31 22:45:00', '2000-10-31 23:00:00'],
              dtype='datetime64[ns]', length=769, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               ...
               '2000-10-31 20:45:00', '2000-10-31 21:00:00',
               '2000-10-31 21:15:00', '2000-10-31 21:30:00',
               '2000-10-31 21:45:00', '2000-10-31 22:00:00',
               '2000-10-31 22:15:00', '2000-10-31 22:30:00',
               '2000-10-31 22:45:00', '2000-10-31 23:00:00'],
              dtype='datetime64[ns]', length=383, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               '2000-10-01 02:30:00', '2000-10-01 02:45:00',
               '2000-10-01 03:00:00', '2000-10-01 03:15:00',
               '2000-10-01 03:30:00', '2000-10-01 03:45:00',
               '2000-10-01 04:00:00', '2000-10-01 04:15:00',
               '2000-10-01 04:30:00', '2000-10-01 04:45:00',
               '2000-10-01 05:00:00', '2000-10-01 05:15:00',
               '2000-10-01 05:30:00', '2000-10-01 05:45:00',
               '2000-10-01 06:00:00', '2000-10-01 06:15:00',
               '2000-10-01 06:30:00', '2000-10-01 06:45:00',
               '2000-10-01 07:00:00', '2000-10-01 07:15:00',
               '2000-10-01 07:30:00', '2000-10-01 07:45:00',
               '2000-10-01 08:00:00', '2000-10-29 08:45:00',
               '2000-10-29 09:00:00', '2000-10-29 09:15:00',
               '2000-10-29 09:30:00', '2000-10-29 09:45:00',
               '2000-10-29 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               '2000-10-01 02:30:00', '2000-10-01 02:45:00',
               '2000-10-01 03:00:00', '2000-10-01 03:15:00',
               '2000-10-01 03:30:00', '2000-10-01 03:45:00',
               '2000-10-01 04:00:00', '2000-10-01 04:15:00',
               '2000-10-01 04:30:00', '2000-10-01 04:45:00',
               '2000-10-01 05:00:00', '2000-10-01 05:15:00',
               '2000-10-01 05:30:00', '2000-10-01 05:45:00',
               '2000-10-01 06:00:00', '2000-10-01 06:15:00',
               '2000-10-01 06:30:00', '2000-10-01 06:45:00',
               '2000-10-01 07:00:00', '2000-10-01 07:15:00',
               '2000-10-01 07:30:00', '2000-10-01 07:45:00',
               '2000-10-01 08:00:00', '2000-10-29 08:45:00',
               '2000-10-29 09:00:00', '2000-10-29 09:15:00',
               '2000-10-29 09:30:00', '2000-10-29 09:45:00',
               '2000-10-29 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               '2000-10-01 02:30:00', '2000-10-01 02:45:00',
               '2000-10-01 03:00:00', '2000-10-01 03:15:00',
               '2000-10-01 03:30:00', '2000-10-01 03:45:00',
               '2000-10-01 04:00:00', '2000-10-01 04:15:00',
               '2000-10-01 04:30:00', '2000-10-01 04:45:00',
               '2000-10-01 05:00:00', '2000-10-01 05:15:00',
               '2000-10-01 05:30:00', '2000-10-01 05:45:00',
               '2000-10-01 06:00:00', '2000-10-01 06:15:00',
               '2000-10-01 06:30:00', '2000-10-01 06:45:00',
               '2000-10-01 07:00:00', '2000-10-01 07:15:00',
               '2000-10-01 07:30:00', '2000-10-01 07:45:00',
               '2000-10-01 08:00:00', '2000-10-29 08:45:00',
               '2000-10-29 09:00:00', '2000-10-29 09:15:00',
               '2000-10-29 09:30:00', '2000-10-29 09:45:00',
               '2000-10-29 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               '2000-10-01 02:30:00', '2000-10-01 02:45:00',
               '2000-10-01 03:00:00', '2000-10-01 03:15:00',
               '2000-10-01 03:30:00', '2000-10-01 03:45:00',
               '2000-10-01 04:00:00', '2000-10-01 04:15:00',
               '2000-10-01 04:30:00', '2000-10-01 04:45:00',
               '2000-10-01 05:00:00', '2000-10-01 05:15:00',
               '2000-10-01 05:30:00', '2000-10-01 05:45:00',
               '2000-10-01 06:00:00', '2000-10-01 06:15:00',
               '2000-10-01 06:30:00', '2000-10-01 06:45:00',
               '2000-10-01 07:00:00', '2000-10-01 07:15:00',
               '2000-10-01 07:30:00', '2000-10-01 07:45:00',
               '2000-10-01 08:00:00', '2000-10-29 08:45:00',
               '2000-10-29 09:00:00', '2000-10-29 09:15:00',
               '2000-10-29 09:30:00', '2000-10-29 09:45:00',
               '2000-10-29 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               '2000-10-01 02:30:00', '2000-10-01 02:45:00',
               '2000-10-01 03:00:00', '2000-10-01 03:15:00',
               '2000-10-01 03:30:00', '2000-10-01 03:45:00',
               '2000-10-01 04:00:00', '2000-10-01 04:15:00',
               '2000-10-01 04:30:00', '2000-10-01 04:45:00',
               '2000-10-01 05:00:00', '2000-10-01 05:15:00',
               '2000-10-01 05:30:00', '2000-10-01 05:45:00',
               '2000-10-01 06:00:00', '2000-10-01 06:15:00',
               '2000-10-01 06:30:00', '2000-10-01 06:45:00',
               '2000-10-01 07:00:00', '2000-10-01 07:15:00',
               '2000-10-01 07:30:00', '2000-10-01 07:45:00',
               '2000-10-01 08:00:00', '2000-10-13 17:30:00',
               '2000-10-13 17:45:00', '2000-10-13 18:00:00',
               '2000-10-29 08:45:00', '2000-10-29 09:00:00',
               '2000-10-29 09:15:00', '2000-10-29 09:30:00',
               '2000-10-29 09:45:00', '2000-10-29 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-10-01 00:00:00', '2000-10-01 00:15:00',
               '2000-10-01 00:30:00', '2000-10-01 00:45:00',
               '2000-10-01 01:00:00', '2000-10-01 01:15:00',
               '2000-10-01 01:30:00', '2000-10-01 01:45:00',
               '2000-10-01 02:00:00', '2000-10-01 02:15:00',
               ...
               '2000-10-31 20:45:00', '2000-10-31 21:00:00',
               '2000-10-31 21:15:00', '2000-10-31 21:30:00',
               '2000-10-31 21:45:00', '2000-10-31 22:00:00',
               '2000-10-31 22:15:00', '2000-10-31 22:30:00',
               '2000-10-31 22:45:00', '2000-10-31 23:00:00'],
              dtype='datetime64[ns]', length=388, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-10-1T00 to 2000-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-10-1T00 to 2000-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-11-01 00:00:00', '2000-11-01 00:15:00',
               '2000-11-01 00:30:00', '2000-11-01 00:45:00',
               '2000-11-01 01:00:00', '2000-11-01 01:15:00',
               '2000-11-01 01:30:00', '2000-11-01 01:45:00',
               '2000-11-01 02:00:00', '2000-11-01 02:15:00',
               ...
               '2000-11-30 20:45:00', '2000-11-30 21:00:00',
               '2000-11-30 21:15:00', '2000-11-30 21:30:00',
               '2000-11-30 21:45:00', '2000-11-30 22:00:00',
               '2000-11-30 22:15:00', '2000-11-30 22:30:00',
               '2000-11-30 22:45:00', '2000-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1443, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-11-01 00:00:00', '2000-11-01 00:15:00',
               '2000-11-01 00:30:00', '2000-11-01 00:45:00',
               '2000-11-01 01:00:00', '2000-11-01 01:15:00',
               '2000-11-01 01:30:00', '2000-11-01 01:45:00',
               '2000-11-01 02:00:00', '2000-11-01 02:15:00',
               '2000-11-01 02:30:00', '2000-11-01 02:45:00',
               '2000-11-01 03:00:00', '2000-11-01 03:15:00',
               '2000-11-01 03:30:00', '2000-11-01 03:45:00',
               '2000-11-01 04:00:00', '2000-11-01 04:15:00',
               '2000-11-01 04:30:00', '2000-11-01 04:45:00',
               '2000-11-01 05:00:00', '2000-11-01 05:15:00',
               '2000-11-01 05:30:00', '2000-11-01 05:45:00',
               '2000-11-01 06:00:00', '2000-11-01 06:15:00',
               '2000-11-01 06:30:00', '2000-11-01 06:45:00',
               '2000-11-01 07:00:00', '2000-11-01 07:15:00',
               '2000-11-01 07:30:00', '2000-11-01 07:45:00',
               '2000-11-01 08:00:00', '2000-11-01 08:15:00',
               '2000-11-01 08:30:00', '2000-11-01 08:45:00',
               '2000-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-11-01 00:00:00', '2000-11-01 00:15:00',
               '2000-11-01 00:30:00', '2000-11-01 00:45:00',
               '2000-11-01 01:00:00', '2000-11-01 01:15:00',
               '2000-11-01 01:30:00', '2000-11-01 01:45:00',
               '2000-11-01 02:00:00', '2000-11-01 02:15:00',
               '2000-11-01 02:30:00', '2000-11-01 02:45:00',
               '2000-11-01 03:00:00', '2000-11-01 03:15:00',
               '2000-11-01 03:30:00', '2000-11-01 03:45:00',
               '2000-11-01 04:00:00', '2000-11-01 04:15:00',
               '2000-11-01 04:30:00', '2000-11-01 04:45:00',
               '2000-11-01 05:00:00', '2000-11-01 05:15:00',
               '2000-11-01 05:30:00', '2000-11-01 05:45:00',
               '2000-11-01 06:00:00', '2000-11-01 06:15:00',
               '2000-11-01 06:30:00', '2000-11-01 06:45:00',
               '2000-11-01 07:00:00', '2000-11-01 07:15:00',
               '2000-11-01 07:30:00', '2000-11-01 07:45:00',
               '2000-11-01 08:00:00', '2000-11-01 08:15:00',
               '2000-11-01 08:30:00', '2000-11-01 08:45:00',
               '2000-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-11-01 00:00:00', '2000-11-01 00:15:00',
               '2000-11-01 00:30:00', '2000-11-01 00:45:00',
               '2000-11-01 01:00:00', '2000-11-01 01:15:00',
               '2000-11-01 01:30:00', '2000-11-01 01:45:00',
               '2000-11-01 02:00:00', '2000-11-01 02:15:00',
               ...
               '2000-11-14 06:45:00', '2000-11-14 07:00:00',
               '2000-11-14 07:15:00', '2000-11-14 07:30:00',
               '2000-11-14 07:45:00', '2000-11-14 08:00:00',
               '2000-11-14 08:15:00', '2000-11-14 08:30:00',
               '2000-11-14 08:45:00', '2000-11-14 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-11-01 00:00:00', '2000-11-01 00:15:00',
               '2000-11-01 00:30:00', '2000-11-01 00:45:00',
               '2000-11-01 01:00:00', '2000-11-01 01:15:00',
               '2000-11-01 01:30:00', '2000-11-01 01:45:00',
               '2000-11-01 02:00:00', '2000-11-01 02:15:00',
               ...
               '2000-11-27 06:45:00', '2000-11-27 07:00:00',
               '2000-11-27 07:15:00', '2000-11-27 07:30:00',
               '2000-11-27 07:45:00', '2000-11-27 08:00:00',
               '2000-11-27 08:15:00', '2000-11-27 08:30:00',
               '2000-11-27 08:45:00', '2000-11-27 09:00:00'],
              dtype='datetime64[ns]', length=429, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-11-01 00:00:00', '2000-11-01 00:15:00',
               '2000-11-01 00:30:00', '2000-11-01 00:45:00',
               '2000-11-01 01:00:00', '2000-11-01 01:15:00',
               '2000-11-01 01:30:00', '2000-11-01 01:45:00',
               '2000-11-01 02:00:00', '2000-11-01 02:15:00',
               '2000-11-01 02:30:00', '2000-11-01 02:45:00',
               '2000-11-01 03:00:00', '2000-11-01 03:15:00',
               '2000-11-01 03:30:00', '2000-11-01 03:45:00',
               '2000-11-01 04:00:00', '2000-11-01 04:15:00',
               '2000-11-01 04:30:00', '2000-11-01 04:45:00',
               '2000-11-01 05:00:00', '2000-11-01 05:15:00',
               '2000-11-01 05:30:00', '2000-11-01 05:45:00',
               '2000-11-01 06:00:00', '2000-11-01 06:15:00',
               '2000-11-01 06:30:00', '2000-11-01 06:45:00',
               '2000-11-01 07:00:00', '2000-11-01 07:15:00',
               '2000-11-01 07:30:00', '2000-11-01 07:45:00',
               '2000-11-01 08:00:00', '2000-11-01 08:15:00',
               '2000-11-01 08:30:00', '2000-11-01 08:45:00',
               '2000-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-11-01 00:00:00', '2000-11-01 00:15:00',
               '2000-11-01 00:30:00', '2000-11-01 00:45:00',
               '2000-11-01 01:00:00', '2000-11-01 01:15:00',
               '2000-11-01 01:30:00', '2000-11-01 01:45:00',
               '2000-11-01 02:00:00', '2000-11-01 02:15:00',
               ...
               '2000-11-30 06:45:00', '2000-11-30 07:00:00',
               '2000-11-30 07:15:00', '2000-11-30 07:30:00',
               '2000-11-30 07:45:00', '2000-11-30 08:00:00',
               '2000-11-30 08:15:00', '2000-11-30 08:30:00',
               '2000-11-30 08:45:00', '2000-11-30 09:00:00'],
              dtype='datetime64[ns]', length=1098, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-11-1T00 to 2000-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-11-1T00 to 2000-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-12-01 00:00:00', '2000-12-01 00:15:00',
               '2000-12-01 00:30:00', '2000-12-01 00:45:00',
               '2000-12-01 01:00:00', '2000-12-01 01:15:00',
               '2000-12-01 01:30:00', '2000-12-01 01:45:00',
               '2000-12-01 02:00:00', '2000-12-01 02:15:00',
               ...
               '2000-12-13 06:30:00', '2000-12-13 06:45:00',
               '2000-12-13 07:00:00', '2000-12-13 07:15:00',
               '2000-12-13 07:30:00', '2000-12-13 07:45:00',
               '2000-12-13 08:00:00', '2000-12-13 08:15:00',
               '2000-12-13 08:30:00', '2000-12-13 08:45:00'],
              dtype='datetime64[ns]', length=1188, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-12-15 08:45:00', '2000-12-15 09:00:00',
               '2000-12-15 09:15:00', '2000-12-15 09:30:00',
               '2000-12-15 09:45:00', '2000-12-15 10:00:00',
               '2000-12-15 10:15:00', '2000-12-15 10:30:00',
               '2000-12-15 10:45:00', '2000-12-15 11:00:00',
               ...
               '2000-12-18 06:45:00', '2000-12-18 07:00:00',
               '2000-12-18 07:15:00', '2000-12-18 07:30:00',
               '2000-12-18 07:45:00', '2000-12-18 08:00:00',
               '2000-12-18 08:15:00', '2000-12-18 08:30:00',
               '2000-12-18 08:45:00', '2000-12-18 09:00:00'],
              dtype='datetime64[ns]', length=290, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-12-01 00:00:00', '2000-12-01 00:15:00',
               '2000-12-01 00:30:00', '2000-12-01 00:45:00',
               '2000-12-01 01:00:00', '2000-12-01 01:15:00',
               '2000-12-01 01:30:00', '2000-12-01 01:45:00',
               '2000-12-01 02:00:00', '2000-12-01 02:15:00',
               '2000-12-01 02:30:00', '2000-12-01 02:45:00',
               '2000-12-01 03:00:00', '2000-12-01 03:15:00',
               '2000-12-01 03:30:00', '2000-12-01 03:45:00',
               '2000-12-01 04:00:00', '2000-12-01 04:15:00',
               '2000-12-01 04:30:00', '2000-12-01 04:45:00',
               '2000-12-01 05:00:00', '2000-12-01 05:15:00',
               '2000-12-01 05:30:00', '2000-12-01 05:45:00',
               '2000-12-01 06:00:00', '2000-12-01 06:15:00',
               '2000-12-01 06:30:00', '2000-12-01 06:45:00',
               '2000-12-01 07:00:00', '2000-12-01 07:15:00',
               '2000-12-01 07:30:00', '2000-12-01 07:45:00',
               '2000-12-01 08:00:00', '2000-12-01 08:15:00',
               '2000-12-01 08:30:00', '2000-12-01 08:45:00',
               '2000-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-12-01 00:00:00', '2000-12-01 00:15:00',
               '2000-12-01 00:30:00', '2000-12-01 00:45:00',
               '2000-12-01 01:00:00', '2000-12-01 01:15:00',
               '2000-12-01 01:30:00', '2000-12-01 01:45:00',
               '2000-12-01 02:00:00', '2000-12-01 02:15:00',
               '2000-12-01 02:30:00', '2000-12-01 02:45:00',
               '2000-12-01 03:00:00', '2000-12-01 03:15:00',
               '2000-12-01 03:30:00', '2000-12-01 03:45:00',
               '2000-12-01 04:00:00', '2000-12-01 04:15:00',
               '2000-12-01 04:30:00', '2000-12-01 04:45:00',
               '2000-12-01 05:00:00', '2000-12-01 05:15:00',
               '2000-12-01 05:30:00', '2000-12-01 05:45:00',
               '2000-12-01 06:00:00', '2000-12-01 06:15:00',
               '2000-12-01 06:30:00', '2000-12-01 06:45:00',
               '2000-12-01 07:00:00', '2000-12-01 07:15:00',
               '2000-12-01 07:30:00', '2000-12-01 07:45:00',
               '2000-12-01 08:00:00', '2000-12-01 08:15:00',
               '2000-12-01 08:30:00', '2000-12-01 08:45:00',
               '2000-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-12-01 00:00:00', '2000-12-01 00:15:00',
               '2000-12-01 00:30:00', '2000-12-01 00:45:00',
               '2000-12-01 01:00:00', '2000-12-01 01:15:00',
               '2000-12-01 01:30:00', '2000-12-01 01:45:00',
               '2000-12-01 02:00:00', '2000-12-01 02:15:00',
               ...
               '2000-12-14 06:45:00', '2000-12-14 07:00:00',
               '2000-12-14 07:15:00', '2000-12-14 07:30:00',
               '2000-12-14 07:45:00', '2000-12-14 08:00:00',
               '2000-12-14 08:15:00', '2000-12-14 08:30:00',
               '2000-12-14 08:45:00', '2000-12-14 09:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-12-01 00:00:00', '2000-12-01 00:15:00',
               '2000-12-01 00:30:00', '2000-12-01 00:45:00',
               '2000-12-01 01:00:00', '2000-12-01 01:15:00',
               '2000-12-01 01:30:00', '2000-12-01 01:45:00',
               '2000-12-01 02:00:00', '2000-12-01 02:15:00',
               ...
               '2000-12-25 06:45:00', '2000-12-25 07:00:00',
               '2000-12-25 07:15:00', '2000-12-25 07:30:00',
               '2000-12-25 07:45:00', '2000-12-25 08:00:00',
               '2000-12-25 08:15:00', '2000-12-25 08:30:00',
               '2000-12-25 08:45:00', '2000-12-25 09:00:00'],
              dtype='datetime64[ns]', length=1385, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-12-01 00:00:00', '2000-12-01 00:15:00',
               '2000-12-01 00:30:00', '2000-12-01 00:45:00',
               '2000-12-01 01:00:00', '2000-12-01 01:15:00',
               '2000-12-01 01:30:00', '2000-12-01 01:45:00',
               '2000-12-01 02:00:00', '2000-12-01 02:15:00',
               '2000-12-01 02:30:00', '2000-12-01 02:45:00',
               '2000-12-01 03:00:00', '2000-12-01 03:15:00',
               '2000-12-01 03:30:00', '2000-12-01 03:45:00',
               '2000-12-01 04:00:00', '2000-12-01 04:15:00',
               '2000-12-01 04:30:00', '2000-12-01 04:45:00',
               '2000-12-01 05:00:00', '2000-12-01 05:15:00',
               '2000-12-01 05:30:00', '2000-12-01 05:45:00',
               '2000-12-01 06:00:00', '2000-12-01 06:15:00',
               '2000-12-01 06:30:00', '2000-12-01 06:45:00',
               '2000-12-01 07:00:00', '2000-12-01 07:15:00',
               '2000-12-01 07:30:00', '2000-12-01 07:45:00',
               '2000-12-01 08:00:00', '2000-12-01 08:15:00',
               '2000-12-01 08:30:00', '2000-12-01 08:45:00',
               '2000-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2000-12-05 09:00:00', '2000-12-05 09:15:00',
               '2000-12-05 09:30:00', '2000-12-05 09:45:00',
               '2000-12-05 10:00:00', '2000-12-05 10:15:00',
               '2000-12-05 10:30:00', '2000-12-05 10:45:00',
               '2000-12-05 11:00:00', '2000-12-05 11:15:00',
               ...
               '2000-12-31 20:45:00', '2000-12-31 21:00:00',
               '2000-12-31 21:15:00', '2000-12-31 21:30:00',
               '2000-12-31 21:45:00', '2000-12-31 22:00:00',
               '2000-12-31 22:15:00', '2000-12-31 22:30:00',
               '2000-12-31 22:45:00', '2000-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2361, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2000-12-01 00:00:00', '2000-12-01 00:15:00',
               '2000-12-01 00:30:00', '2000-12-01 00:45:00',
               '2000-12-01 01:00:00', '2000-12-01 01:15:00',
               '2000-12-01 01:30:00', '2000-12-01 01:45:00',
               '2000-12-01 02:00:00', '2000-12-01 02:15:00',
               '2000-12-01 02:30:00', '2000-12-01 02:45:00',
               '2000-12-01 03:00:00', '2000-12-01 03:15:00',
               '2000-12-01 03:30:00', '2000-12-01 03:45:00',
               '2000-12-01 04:00:00', '2000-12-01 04:15:00',
               '2000-12-01 04:30:00', '2000-12-01 04:45:00',
               '2000-12-01 05:00:00', '2000-12-01 05:15:00',
               '2000-12-01 05:30:00', '2000-12-01 05:45:00',
               '2000-12-01 06:00:00', '2000-12-01 06:15:00',
               '2000-12-01 06:30:00', '2000-12-01 06:45:00',
               '2000-12-01 07:00:00', '2000-12-01 07:15:00',
               '2000-12-01 07:30:00', '2000-12-01 07:45:00',
               '2000-12-01 08:00:00', '2000-12-01 08:15:00',
               '2000-12-01 08:30:00', '2000-12-01 08:45:00',
               '2000-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2000-12-1T00 to 2000-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2000-12-1T00 to 2000-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2001

year = 2001
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 00:15:00',
               '2001-01-01 00:30:00', '2001-01-01 00:45:00',
               '2001-01-01 01:00:00', '2001-01-01 01:15:00',
               '2001-01-01 01:30:00', '2001-01-01 01:45:00',
               '2001-01-01 02:00:00', '2001-01-01 02:15:00',
               ...
               '2001-01-31 06:45:00', '2001-01-31 07:00:00',
               '2001-01-31 07:15:00', '2001-01-31 07:30:00',
               '2001-01-31 07:45:00', '2001-01-31 08:00:00',
               '2001-01-31 08:15:00', '2001-01-31 08:30:00',
               '2001-01-31 08:45:00', '2001-01-31 09:00:00'],
              dtype='datetime64[ns]', length=330, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 00:15:00',
               '2001-01-01 00:30:00', '2001-01-01 00:45:00',
               '2001-01-01 01:00:00', '2001-01-01 01:15:00',
               '2001-01-01 01:30:00', '2001-01-01 01:45:00',
               '2001-01-01 02:00:00', '2001-01-01 02:15:00',
               '2001-01-01 02:30:00', '2001-01-01 02:45:00',
               '2001-01-01 03:00:00', '2001-01-01 03:15:00',
               '2001-01-01 03:30:00', '2001-01-01 03:45:00',
               '2001-01-01 04:00:00', '2001-01-01 04:15:00',
               '2001-01-01 04:30:00', '2001-01-01 04:45:00',
               '2001-01-01 05:00:00', '2001-01-01 05:15:00',
               '2001-01-01 05:30:00', '2001-01-01 05:45:00',
               '2001-01-01 06:00:00', '2001-01-01 06:15:00',
               '2001-01-01 06:30:00', '2001-01-01 06:45:00',
               '2001-01-01 07:00:00', '2001-01-01 07:15:00',
               '2001-01-01 07:30:00', '2001-01-01 07:45:00',
               '2001-01-01 08:00:00', '2001-01-01 08:15:00',
               '2001-01-01 08:30:00', '2001-01-01 08:45:00',
               '2001-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 00:15:00',
               '2001-01-01 00:30:00', '2001-01-01 00:45:00',
               '2001-01-01 01:00:00', '2001-01-01 01:15:00',
               '2001-01-01 01:30:00', '2001-01-01 01:45:00',
               '2001-01-01 02:00:00', '2001-01-01 02:15:00',
               '2001-01-01 02:30:00', '2001-01-01 02:45:00',
               '2001-01-01 03:00:00', '2001-01-01 03:15:00',
               '2001-01-01 03:30:00', '2001-01-01 03:45:00',
               '2001-01-01 04:00:00', '2001-01-01 04:15:00',
               '2001-01-01 04:30:00', '2001-01-01 04:45:00',
               '2001-01-01 05:00:00', '2001-01-01 05:15:00',
               '2001-01-01 05:30:00', '2001-01-01 05:45:00',
               '2001-01-01 06:00:00', '2001-01-01 06:15:00',
               '2001-01-01 06:30:00', '2001-01-01 06:45:00',
               '2001-01-01 07:00:00', '2001-01-01 07:15:00',
               '2001-01-01 07:30:00', '2001-01-01 07:45:00',
               '2001-01-01 08:00:00', '2001-01-01 08:15:00',
               '2001-01-01 08:30:00', '2001-01-01 08:45:00',
               '2001-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 00:15:00',
               '2001-01-01 00:30:00', '2001-01-01 00:45:00',
               '2001-01-01 01:00:00', '2001-01-01 01:15:00',
               '2001-01-01 01:30:00', '2001-01-01 01:45:00',
               '2001-01-01 02:00:00', '2001-01-01 02:15:00',
               ...
               '2001-01-27 06:45:00', '2001-01-27 07:00:00',
               '2001-01-27 07:15:00', '2001-01-27 07:30:00',
               '2001-01-27 07:45:00', '2001-01-27 08:00:00',
               '2001-01-27 08:15:00', '2001-01-27 08:30:00',
               '2001-01-27 08:45:00', '2001-01-27 09:00:00'],
              dtype='datetime64[ns]', length=715, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 00:15:00',
               '2001-01-01 00:30:00', '2001-01-01 00:45:00',
               '2001-01-01 01:00:00', '2001-01-01 01:15:00',
               '2001-01-01 01:30:00', '2001-01-01 01:45:00',
               '2001-01-01 02:00:00', '2001-01-01 02:15:00',
               ...
               '2001-01-31 06:45:00', '2001-01-31 07:00:00',
               '2001-01-31 07:15:00', '2001-01-31 07:30:00',
               '2001-01-31 07:45:00', '2001-01-31 08:00:00',
               '2001-01-31 08:15:00', '2001-01-31 08:30:00',
               '2001-01-31 08:45:00', '2001-01-31 09:00:00'],
              dtype='datetime64[ns]', length=1293, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 00:15:00',
               '2001-01-01 00:30:00', '2001-01-01 00:45:00',
               '2001-01-01 01:00:00', '2001-01-01 01:15:00',
               '2001-01-01 01:30:00', '2001-01-01 01:45:00',
               '2001-01-01 02:00:00', '2001-01-01 02:15:00',
               ...
               '2001-01-13 06:45:00', '2001-01-13 07:00:00',
               '2001-01-13 07:15:00', '2001-01-13 07:30:00',
               '2001-01-13 07:45:00', '2001-01-13 08:00:00',
               '2001-01-13 08:15:00', '2001-01-13 08:30:00',
               '2001-01-13 08:45:00', '2001-01-13 09:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-01-01 00:00:00', '2001-01-01 00:15:00',
               '2001-01-01 00:30:00', '2001-01-01 00:45:00',
               '2001-01-01 01:00:00', '2001-01-01 01:15:00',
               '2001-01-01 01:30:00', '2001-01-01 01:45:00',
               '2001-01-01 02:00:00', '2001-01-01 02:15:00',
               ...
               '2001-01-31 20:45:00', '2001-01-31 21:00:00',
               '2001-01-31 21:15:00', '2001-01-31 21:30:00',
               '2001-01-31 21:45:00', '2001-01-31 22:00:00',
               '2001-01-31 22:15:00', '2001-01-31 22:30:00',
               '2001-01-31 22:45:00', '2001-01-31 23:00:00'],
              dtype='datetime64[ns]', length=865, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-1-1T00 to 2001-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-1-1T00 to 2001-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               ...
               '2001-02-21 06:30:00', '2001-02-21 06:45:00',
               '2001-02-21 07:00:00', '2001-02-21 07:15:00',
               '2001-02-21 07:30:00', '2001-02-21 07:45:00',
               '2001-02-21 08:00:00', '2001-02-21 08:15:00',
               '2001-02-21 08:30:00', '2001-02-21 08:45:00'],
              dtype='datetime64[ns]', length=1956, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-23 08:45:00', '2001-02-23 09:00:00',
               '2001-02-23 09:15:00', '2001-02-23 09:30:00',
               '2001-02-23 09:45:00', '2001-02-23 10:00:00',
               '2001-02-23 10:15:00', '2001-02-23 10:30:00',
               '2001-02-23 10:45:00', '2001-02-23 11:00:00',
               ...
               '2001-02-28 20:45:00', '2001-02-28 21:00:00',
               '2001-02-28 21:15:00', '2001-02-28 21:30:00',
               '2001-02-28 21:45:00', '2001-02-28 22:00:00',
               '2001-02-28 22:15:00', '2001-02-28 22:30:00',
               '2001-02-28 22:45:00', '2001-02-28 23:00:00'],
              dtype='datetime64[ns]', length=538, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               ...
               '2001-02-11 06:45:00', '2001-02-11 07:00:00',
               '2001-02-11 07:15:00', '2001-02-11 07:30:00',
               '2001-02-11 07:45:00', '2001-02-11 08:00:00',
               '2001-02-11 08:15:00', '2001-02-11 08:30:00',
               '2001-02-11 08:45:00', '2001-02-11 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               ...
               '2001-02-28 16:00:00', '2001-02-28 16:15:00',
               '2001-02-28 16:30:00', '2001-02-28 16:45:00',
               '2001-02-28 17:00:00', '2001-02-28 17:15:00',
               '2001-02-28 17:30:00', '2001-02-28 17:45:00',
               '2001-02-28 18:00:00', '2001-02-28 18:15:00'],
              dtype='datetime64[ns]', length=269, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               '2001-02-01 02:30:00', '2001-02-01 02:45:00',
               '2001-02-01 03:00:00', '2001-02-01 03:15:00',
               '2001-02-01 03:30:00', '2001-02-01 03:45:00',
               '2001-02-01 04:00:00', '2001-02-01 04:15:00',
               '2001-02-01 04:30:00', '2001-02-01 04:45:00',
               '2001-02-01 05:00:00', '2001-02-01 05:15:00',
               '2001-02-01 05:30:00', '2001-02-01 05:45:00',
               '2001-02-01 06:00:00', '2001-02-01 06:15:00',
               '2001-02-01 06:30:00', '2001-02-01 06:45:00',
               '2001-02-01 07:00:00', '2001-02-01 07:15:00',
               '2001-02-01 07:30:00', '2001-02-01 07:45:00',
               '2001-02-01 08:00:00', '2001-02-01 08:15:00',
               '2001-02-01 08:30:00', '2001-02-01 08:45:00',
               '2001-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               ...
               '2001-02-16 06:30:00', '2001-02-16 06:45:00',
               '2001-02-16 07:00:00', '2001-02-16 07:15:00',
               '2001-02-16 07:30:00', '2001-02-16 07:45:00',
               '2001-02-16 08:00:00', '2001-02-16 08:15:00',
               '2001-02-16 08:30:00', '2001-02-16 08:45:00'],
              dtype='datetime64[ns]', length=1476, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-19 08:45:00', '2001-02-19 09:00:00',
               '2001-02-19 09:15:00', '2001-02-19 09:30:00',
               '2001-02-19 09:45:00', '2001-02-19 10:00:00',
               '2001-02-19 10:15:00', '2001-02-19 10:30:00',
               '2001-02-19 10:45:00', '2001-02-19 11:00:00',
               ...
               '2001-02-28 20:45:00', '2001-02-28 21:00:00',
               '2001-02-28 21:15:00', '2001-02-28 21:30:00',
               '2001-02-28 21:45:00', '2001-02-28 22:00:00',
               '2001-02-28 22:15:00', '2001-02-28 22:30:00',
               '2001-02-28 22:45:00', '2001-02-28 23:00:00'],
              dtype='datetime64[ns]', length=636, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               ...
               '2001-02-27 06:45:00', '2001-02-27 07:00:00',
               '2001-02-27 07:15:00', '2001-02-27 07:30:00',
               '2001-02-27 07:45:00', '2001-02-27 08:00:00',
               '2001-02-27 08:15:00', '2001-02-27 08:30:00',
               '2001-02-27 08:45:00', '2001-02-27 09:00:00'],
              dtype='datetime64[ns]', length=1965, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               ...
               '2001-02-28 06:45:00', '2001-02-28 07:00:00',
               '2001-02-28 07:15:00', '2001-02-28 07:30:00',
               '2001-02-28 07:45:00', '2001-02-28 08:00:00',
               '2001-02-28 08:15:00', '2001-02-28 08:30:00',
               '2001-02-28 08:45:00', '2001-02-28 09:00:00'],
              dtype='datetime64[ns]', length=617, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-02-01 00:00:00', '2001-02-01 00:15:00',
               '2001-02-01 00:30:00', '2001-02-01 00:45:00',
               '2001-02-01 01:00:00', '2001-02-01 01:15:00',
               '2001-02-01 01:30:00', '2001-02-01 01:45:00',
               '2001-02-01 02:00:00', '2001-02-01 02:15:00',
               ...
               '2001-02-07 06:45:00', '2001-02-07 07:00:00',
               '2001-02-07 07:15:00', '2001-02-07 07:30:00',
               '2001-02-07 07:45:00', '2001-02-07 08:00:00',
               '2001-02-07 08:15:00', '2001-02-07 08:30:00',
               '2001-02-07 08:45:00', '2001-02-07 09:00:00'],
              dtype='datetime64[ns]', length=613, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-2-1T00 to 2001-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-2-1T00 to 2001-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               ...
               '2001-03-28 06:45:00', '2001-03-28 07:00:00',
               '2001-03-28 07:15:00', '2001-03-28 07:30:00',
               '2001-03-28 07:45:00', '2001-03-28 08:00:00',
               '2001-03-28 08:15:00', '2001-03-28 08:30:00',
               '2001-03-28 08:45:00', '2001-03-28 09:00:00'],
              dtype='datetime64[ns]', length=907, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               ...
               '2001-03-24 06:45:00', '2001-03-24 07:00:00',
               '2001-03-24 07:15:00', '2001-03-24 07:30:00',
               '2001-03-24 07:45:00', '2001-03-24 08:00:00',
               '2001-03-24 08:15:00', '2001-03-24 08:30:00',
               '2001-03-24 08:45:00', '2001-03-24 09:00:00'],
              dtype='datetime64[ns]', length=713, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               '2001-03-01 02:30:00', '2001-03-01 02:45:00',
               '2001-03-01 03:00:00', '2001-03-01 03:15:00',
               '2001-03-01 03:30:00', '2001-03-01 03:45:00',
               '2001-03-01 04:00:00', '2001-03-01 04:15:00',
               '2001-03-01 04:30:00', '2001-03-01 04:45:00',
               '2001-03-01 05:00:00', '2001-03-01 05:15:00',
               '2001-03-01 05:30:00', '2001-03-01 05:45:00',
               '2001-03-01 06:00:00', '2001-03-01 06:15:00',
               '2001-03-01 06:30:00', '2001-03-01 06:45:00',
               '2001-03-01 07:00:00', '2001-03-01 07:15:00',
               '2001-03-01 07:30:00', '2001-03-01 07:45:00',
               '2001-03-01 08:00:00', '2001-03-01 08:15:00',
               '2001-03-01 08:30:00', '2001-03-01 08:45:00',
               '2001-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               '2001-03-01 02:30:00', '2001-03-01 02:45:00',
               '2001-03-01 03:00:00', '2001-03-01 03:15:00',
               '2001-03-01 03:30:00', '2001-03-01 03:45:00',
               '2001-03-01 04:00:00', '2001-03-01 04:15:00',
               '2001-03-01 04:30:00', '2001-03-01 04:45:00',
               '2001-03-01 05:00:00', '2001-03-01 05:15:00',
               '2001-03-01 05:30:00', '2001-03-01 05:45:00',
               '2001-03-01 06:00:00', '2001-03-01 06:15:00',
               '2001-03-01 06:30:00', '2001-03-01 06:45:00',
               '2001-03-01 07:00:00', '2001-03-01 07:15:00',
               '2001-03-01 07:30:00', '2001-03-01 07:45:00',
               '2001-03-01 08:00:00', '2001-03-01 08:15:00',
               '2001-03-01 08:30:00', '2001-03-01 08:45:00',
               '2001-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               ...
               '2001-03-26 06:30:00', '2001-03-26 06:45:00',
               '2001-03-26 07:00:00', '2001-03-26 07:15:00',
               '2001-03-26 07:30:00', '2001-03-26 07:45:00',
               '2001-03-26 08:00:00', '2001-03-26 08:15:00',
               '2001-03-26 08:30:00', '2001-03-26 08:45:00'],
              dtype='datetime64[ns]', length=2436, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               ...
               '2001-03-26 06:45:00', '2001-03-26 07:00:00',
               '2001-03-26 07:15:00', '2001-03-26 07:30:00',
               '2001-03-26 07:45:00', '2001-03-26 08:00:00',
               '2001-03-26 08:15:00', '2001-03-26 08:30:00',
               '2001-03-26 08:45:00', '2001-03-26 09:00:00'],
              dtype='datetime64[ns]', length=1001, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               '2001-03-01 02:30:00', '2001-03-01 02:45:00',
               '2001-03-01 03:00:00', '2001-03-01 03:15:00',
               '2001-03-01 03:30:00', '2001-03-01 03:45:00',
               '2001-03-01 04:00:00', '2001-03-01 04:15:00',
               '2001-03-01 04:30:00', '2001-03-01 04:45:00',
               '2001-03-01 05:00:00', '2001-03-01 05:15:00',
               '2001-03-01 05:30:00', '2001-03-01 05:45:00',
               '2001-03-01 06:00:00', '2001-03-01 06:15:00',
               '2001-03-01 06:30:00', '2001-03-01 06:45:00',
               '2001-03-01 07:00:00', '2001-03-01 07:15:00',
               '2001-03-01 07:30:00', '2001-03-01 07:45:00',
               '2001-03-01 08:00:00', '2001-03-01 08:15:00',
               '2001-03-01 08:30:00', '2001-03-01 08:45:00',
               '2001-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-03-01 00:00:00', '2001-03-01 00:15:00',
               '2001-03-01 00:30:00', '2001-03-01 00:45:00',
               '2001-03-01 01:00:00', '2001-03-01 01:15:00',
               '2001-03-01 01:30:00', '2001-03-01 01:45:00',
               '2001-03-01 02:00:00', '2001-03-01 02:15:00',
               ...
               '2001-03-22 06:45:00', '2001-03-22 07:00:00',
               '2001-03-22 07:15:00', '2001-03-22 07:30:00',
               '2001-03-22 07:45:00', '2001-03-22 08:00:00',
               '2001-03-22 08:15:00', '2001-03-22 08:30:00',
               '2001-03-22 08:45:00', '2001-03-22 09:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-3-1T00 to 2001-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-3-1T00 to 2001-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               '2001-04-01 02:30:00', '2001-04-01 02:45:00',
               '2001-04-01 03:00:00', '2001-04-01 03:15:00',
               '2001-04-01 03:30:00', '2001-04-01 03:45:00',
               '2001-04-01 04:00:00', '2001-04-01 04:15:00',
               '2001-04-01 04:30:00', '2001-04-01 04:45:00',
               '2001-04-01 05:00:00', '2001-04-01 05:15:00',
               '2001-04-01 05:30:00', '2001-04-01 05:45:00',
               '2001-04-01 06:00:00', '2001-04-01 06:15:00',
               '2001-04-01 06:30:00', '2001-04-01 06:45:00',
               '2001-04-01 07:00:00', '2001-04-01 07:15:00',
               '2001-04-01 07:30:00', '2001-04-01 07:45:00',
               '2001-04-01 08:00:00', '2001-04-01 08:15:00',
               '2001-04-01 08:30:00', '2001-04-01 08:45:00',
               '2001-04-01 09:00:00', '2001-04-11 18:45:00',
               '2001-04-11 19:00:00', '2001-04-11 19:15:00',
               '2001-04-11 19:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               '2001-04-01 02:30:00', '2001-04-01 02:45:00',
               '2001-04-01 03:00:00', '2001-04-01 03:15:00',
               '2001-04-01 03:30:00', '2001-04-01 03:45:00',
               '2001-04-01 04:00:00', '2001-04-01 04:15:00',
               '2001-04-01 04:30:00', '2001-04-01 04:45:00',
               '2001-04-01 05:00:00', '2001-04-01 05:15:00',
               '2001-04-01 05:30:00', '2001-04-01 05:45:00',
               '2001-04-01 06:00:00', '2001-04-01 06:15:00',
               '2001-04-01 06:30:00', '2001-04-01 06:45:00',
               '2001-04-01 07:00:00', '2001-04-01 07:15:00',
               '2001-04-01 07:30:00', '2001-04-01 07:45:00',
               '2001-04-01 08:00:00', '2001-04-01 08:15:00',
               '2001-04-01 08:30:00', '2001-04-01 08:45:00',
               '2001-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               '2001-04-01 02:30:00', '2001-04-01 02:45:00',
               '2001-04-01 03:00:00', '2001-04-01 03:15:00',
               '2001-04-01 03:30:00', '2001-04-01 03:45:00',
               '2001-04-01 04:00:00', '2001-04-01 04:15:00',
               '2001-04-01 04:30:00', '2001-04-01 04:45:00',
               '2001-04-01 05:00:00', '2001-04-01 05:15:00',
               '2001-04-01 05:30:00', '2001-04-01 05:45:00',
               '2001-04-01 06:00:00', '2001-04-01 06:15:00',
               '2001-04-01 06:30:00', '2001-04-01 06:45:00',
               '2001-04-01 07:00:00', '2001-04-01 07:15:00',
               '2001-04-01 07:30:00', '2001-04-01 07:45:00',
               '2001-04-01 08:00:00', '2001-04-01 08:15:00',
               '2001-04-01 08:30:00', '2001-04-01 08:45:00',
               '2001-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               ...
               '2001-04-05 05:45:00', '2001-04-05 06:00:00',
               '2001-04-05 06:15:00', '2001-04-05 06:30:00',
               '2001-04-05 06:45:00', '2001-04-05 07:00:00',
               '2001-04-05 07:15:00', '2001-04-05 07:30:00',
               '2001-04-05 07:45:00', '2001-04-05 08:00:00'],
              dtype='datetime64[ns]', length=417, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               '2001-04-01 02:30:00', '2001-04-01 02:45:00',
               '2001-04-01 03:00:00', '2001-04-01 03:15:00',
               '2001-04-01 03:30:00', '2001-04-01 03:45:00',
               '2001-04-01 04:00:00', '2001-04-01 04:15:00',
               '2001-04-01 04:30:00', '2001-04-01 04:45:00',
               '2001-04-01 05:00:00', '2001-04-01 05:15:00',
               '2001-04-01 05:30:00', '2001-04-01 05:45:00',
               '2001-04-01 06:00:00', '2001-04-01 06:15:00',
               '2001-04-01 06:30:00', '2001-04-01 06:45:00',
               '2001-04-01 07:00:00', '2001-04-01 07:15:00',
               '2001-04-01 07:30:00', '2001-04-01 07:45:00',
               '2001-04-01 08:00:00', '2001-04-01 08:15:00',
               '2001-04-01 08:30:00', '2001-04-01 08:45:00',
               '2001-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               ...
               '2001-04-11 05:45:00', '2001-04-11 06:00:00',
               '2001-04-11 06:15:00', '2001-04-11 06:30:00',
               '2001-04-11 06:45:00', '2001-04-11 07:00:00',
               '2001-04-11 07:15:00', '2001-04-11 07:30:00',
               '2001-04-11 07:45:00', '2001-04-11 08:00:00'],
              dtype='datetime64[ns]', length=327, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               '2001-04-01 02:30:00', '2001-04-01 02:45:00',
               '2001-04-01 03:00:00', '2001-04-01 03:15:00',
               '2001-04-01 03:30:00', '2001-04-01 03:45:00',
               '2001-04-01 04:00:00', '2001-04-01 04:15:00',
               '2001-04-01 04:30:00', '2001-04-01 04:45:00',
               '2001-04-01 05:00:00', '2001-04-01 05:15:00',
               '2001-04-01 05:30:00', '2001-04-01 05:45:00',
               '2001-04-01 06:00:00', '2001-04-01 06:15:00',
               '2001-04-01 06:30:00', '2001-04-01 06:45:00',
               '2001-04-01 07:00:00', '2001-04-01 07:15:00',
               '2001-04-01 07:30:00', '2001-04-01 07:45:00',
               '2001-04-01 08:00:00', '2001-04-01 08:15:00',
               '2001-04-01 08:30:00', '2001-04-01 08:45:00',
               '2001-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               '2001-04-01 02:30:00', '2001-04-01 02:45:00',
               '2001-04-01 03:00:00', '2001-04-01 03:15:00',
               '2001-04-01 03:30:00', '2001-04-01 03:45:00',
               '2001-04-01 04:00:00', '2001-04-01 04:15:00',
               '2001-04-01 04:30:00', '2001-04-01 04:45:00',
               '2001-04-01 05:00:00', '2001-04-01 05:15:00',
               '2001-04-01 05:30:00', '2001-04-01 05:45:00',
               '2001-04-01 06:00:00', '2001-04-01 06:15:00',
               '2001-04-01 06:30:00', '2001-04-01 06:45:00',
               '2001-04-01 07:00:00', '2001-04-01 07:15:00',
               '2001-04-01 07:30:00', '2001-04-01 07:45:00',
               '2001-04-01 08:00:00', '2001-04-01 08:15:00',
               '2001-04-01 08:30:00', '2001-04-01 08:45:00',
               '2001-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-04-01 00:00:00', '2001-04-01 00:15:00',
               '2001-04-01 00:30:00', '2001-04-01 00:45:00',
               '2001-04-01 01:00:00', '2001-04-01 01:15:00',
               '2001-04-01 01:30:00', '2001-04-01 01:45:00',
               '2001-04-01 02:00:00', '2001-04-01 02:15:00',
               ...
               '2001-04-24 05:45:00', '2001-04-24 06:00:00',
               '2001-04-24 06:15:00', '2001-04-24 06:30:00',
               '2001-04-24 06:45:00', '2001-04-24 07:00:00',
               '2001-04-24 07:15:00', '2001-04-24 07:30:00',
               '2001-04-24 07:45:00', '2001-04-24 08:00:00'],
              dtype='datetime64[ns]', length=531, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-4-1T00 to 2001-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-4-1T00 to 2001-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               '2001-05-01 02:30:00', '2001-05-01 02:45:00',
               '2001-05-01 03:00:00', '2001-05-01 03:15:00',
               '2001-05-01 03:30:00', '2001-05-01 03:45:00',
               '2001-05-01 04:00:00', '2001-05-01 04:15:00',
               '2001-05-01 04:30:00', '2001-05-01 04:45:00',
               '2001-05-01 05:00:00', '2001-05-01 05:15:00',
               '2001-05-01 05:30:00', '2001-05-01 05:45:00',
               '2001-05-01 06:00:00', '2001-05-01 06:15:00',
               '2001-05-01 06:30:00', '2001-05-01 06:45:00',
               '2001-05-01 07:00:00', '2001-05-01 07:15:00',
               '2001-05-01 07:30:00', '2001-05-01 07:45:00',
               '2001-05-01 08:00:00', '2001-05-20 04:45:00',
               '2001-05-20 05:00:00', '2001-05-20 05:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-05-01 00:00:00', '2001-05-01 00:15:00',
               '2001-05-01 00:30:00', '2001-05-01 00:45:00',
               '2001-05-01 01:00:00', '2001-05-01 01:15:00',
               '2001-05-01 01:30:00', '2001-05-01 01:45:00',
               '2001-05-01 02:00:00', '2001-05-01 02:15:00',
               ...
               '2001-05-25 05:30:00', '2001-05-25 05:45:00',
               '2001-05-25 06:00:00', '2001-05-25 06:15:00',
               '2001-05-25 06:30:00', '2001-05-25 06:45:00',
               '2001-05-25 07:00:00', '2001-05-25 07:15:00',
               '2001-05-25 07:30:00', '2001-05-25 07:45:00'],
              dtype='datetime64[ns]', length=2336, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-5-1T00 to 2001-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-5-1T00 to 2001-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00', '2001-06-12 19:15:00',
               '2001-06-12 19:30:00', '2001-06-12 19:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               '2001-06-01 02:30:00', '2001-06-01 02:45:00',
               '2001-06-01 03:00:00', '2001-06-01 03:15:00',
               '2001-06-01 03:30:00', '2001-06-01 03:45:00',
               '2001-06-01 04:00:00', '2001-06-01 04:15:00',
               '2001-06-01 04:30:00', '2001-06-01 04:45:00',
               '2001-06-01 05:00:00', '2001-06-01 05:15:00',
               '2001-06-01 05:30:00', '2001-06-01 05:45:00',
               '2001-06-01 06:00:00', '2001-06-01 06:15:00',
               '2001-06-01 06:30:00', '2001-06-01 06:45:00',
               '2001-06-01 07:00:00', '2001-06-01 07:15:00',
               '2001-06-01 07:30:00', '2001-06-01 07:45:00',
               '2001-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-06-01 00:00:00', '2001-06-01 00:15:00',
               '2001-06-01 00:30:00', '2001-06-01 00:45:00',
               '2001-06-01 01:00:00', '2001-06-01 01:15:00',
               '2001-06-01 01:30:00', '2001-06-01 01:45:00',
               '2001-06-01 02:00:00', '2001-06-01 02:15:00',
               ...
               '2001-06-08 05:45:00', '2001-06-08 06:00:00',
               '2001-06-08 06:15:00', '2001-06-08 06:30:00',
               '2001-06-08 06:45:00', '2001-06-08 07:00:00',
               '2001-06-08 07:15:00', '2001-06-08 07:30:00',
               '2001-06-08 07:45:00', '2001-06-08 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-6-1T00 to 2001-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-6-1T00 to 2001-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00', '2001-07-23 22:15:00',
               '2001-07-23 22:30:00', '2001-07-23 22:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00', '2001-07-15 10:30:00',
               '2001-07-15 10:45:00', '2001-07-15 11:00:00',
               '2001-07-20 21:45:00', '2001-07-20 22:00:00',
               '2001-07-20 22:15:00', '2001-07-21 00:15:00',
               '2001-07-21 00:30:00', '2001-07-21 00:45:00',
               '2001-07-28 07:15:00', '2001-07-28 07:30:00',
               '2001-07-28 07:45:00', '2001-07-28 17:45:00',
               '2001-07-28 18:00:00', '2001-07-28 18:15:00',
               '2001-07-30 18:30:00', '2001-07-30 18:45:00',
               '2001-07-30 19:00:00', '2001-07-30 21:15:00',
               '2001-07-30 21:30:00', '2001-07-30 21:45:00',
               '2001-07-31 00:00:00', '2001-07-31 00:15:00',
               '2001-07-31 00:30:00', '2001-07-31 00:45:00',
               '2001-07-31 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-07-01 00:00:00', '2001-07-01 00:15:00',
               '2001-07-01 00:30:00', '2001-07-01 00:45:00',
               '2001-07-01 01:00:00', '2001-07-01 01:15:00',
               '2001-07-01 01:30:00', '2001-07-01 01:45:00',
               '2001-07-01 02:00:00', '2001-07-01 02:15:00',
               '2001-07-01 02:30:00', '2001-07-01 02:45:00',
               '2001-07-01 03:00:00', '2001-07-01 03:15:00',
               '2001-07-01 03:30:00', '2001-07-01 03:45:00',
               '2001-07-01 04:00:00', '2001-07-01 04:15:00',
               '2001-07-01 04:30:00', '2001-07-01 04:45:00',
               '2001-07-01 05:00:00', '2001-07-01 05:15:00',
               '2001-07-01 05:30:00', '2001-07-01 05:45:00',
               '2001-07-01 06:00:00', '2001-07-01 06:15:00',
               '2001-07-01 06:30:00', '2001-07-01 06:45:00',
               '2001-07-01 07:00:00', '2001-07-01 07:15:00',
               '2001-07-01 07:30:00', '2001-07-01 07:45:00',
               '2001-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-7-1T00 to 2001-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-7-1T00 to 2001-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00', '2001-08-30 02:15:00',
               '2001-08-30 02:30:00', '2001-08-30 02:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               ...
               '2001-08-22 05:45:00', '2001-08-22 06:00:00',
               '2001-08-22 06:15:00', '2001-08-22 06:30:00',
               '2001-08-22 06:45:00', '2001-08-22 07:00:00',
               '2001-08-22 07:15:00', '2001-08-22 07:30:00',
               '2001-08-22 07:45:00', '2001-08-22 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00', '2001-08-03 01:15:00',
               '2001-08-03 01:30:00', '2001-08-03 01:45:00',
               '2001-08-05 08:00:00', '2001-08-05 08:15:00',
               '2001-08-05 08:30:00', '2001-08-05 08:45:00',
               '2001-08-05 09:00:00', '2001-08-05 09:15:00',
               '2001-08-05 09:30:00', '2001-08-05 09:45:00',
               '2001-08-10 10:15:00', '2001-08-10 10:30:00',
               '2001-08-10 10:45:00', '2001-08-10 12:00:00',
               '2001-08-10 12:15:00', '2001-08-10 12:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-08-01 00:00:00', '2001-08-01 00:15:00',
               '2001-08-01 00:30:00', '2001-08-01 00:45:00',
               '2001-08-01 01:00:00', '2001-08-01 01:15:00',
               '2001-08-01 01:30:00', '2001-08-01 01:45:00',
               '2001-08-01 02:00:00', '2001-08-01 02:15:00',
               '2001-08-01 02:30:00', '2001-08-01 02:45:00',
               '2001-08-01 03:00:00', '2001-08-01 03:15:00',
               '2001-08-01 03:30:00', '2001-08-01 03:45:00',
               '2001-08-01 04:00:00', '2001-08-01 04:15:00',
               '2001-08-01 04:30:00', '2001-08-01 04:45:00',
               '2001-08-01 05:00:00', '2001-08-01 05:15:00',
               '2001-08-01 05:30:00', '2001-08-01 05:45:00',
               '2001-08-01 06:00:00', '2001-08-01 06:15:00',
               '2001-08-01 06:30:00', '2001-08-01 06:45:00',
               '2001-08-01 07:00:00', '2001-08-01 07:15:00',
               '2001-08-01 07:30:00', '2001-08-01 07:45:00',
               '2001-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-8-1T00 to 2001-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-8-1T00 to 2001-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               ...
               '2001-09-21 05:45:00', '2001-09-21 06:00:00',
               '2001-09-21 06:15:00', '2001-09-21 06:30:00',
               '2001-09-21 06:45:00', '2001-09-21 07:00:00',
               '2001-09-21 07:15:00', '2001-09-21 07:30:00',
               '2001-09-21 07:45:00', '2001-09-21 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00', '2001-09-04 08:15:00',
               '2001-09-04 08:30:00', '2001-09-04 08:45:00',
               '2001-09-04 09:00:00', '2001-09-04 09:15:00',
               '2001-09-04 09:30:00', '2001-09-17 14:45:00',
               '2001-09-17 15:00:00', '2001-09-17 15:15:00',
               '2001-09-17 20:00:00', '2001-09-17 20:15:00',
               '2001-09-17 20:30:00', '2001-09-27 08:45:00',
               '2001-09-27 09:00:00', '2001-09-27 09:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-09-01 00:00:00', '2001-09-01 00:15:00',
               '2001-09-01 00:30:00', '2001-09-01 00:45:00',
               '2001-09-01 01:00:00', '2001-09-01 01:15:00',
               '2001-09-01 01:30:00', '2001-09-01 01:45:00',
               '2001-09-01 02:00:00', '2001-09-01 02:15:00',
               '2001-09-01 02:30:00', '2001-09-01 02:45:00',
               '2001-09-01 03:00:00', '2001-09-01 03:15:00',
               '2001-09-01 03:30:00', '2001-09-01 03:45:00',
               '2001-09-01 04:00:00', '2001-09-01 04:15:00',
               '2001-09-01 04:30:00', '2001-09-01 04:45:00',
               '2001-09-01 05:00:00', '2001-09-01 05:15:00',
               '2001-09-01 05:30:00', '2001-09-01 05:45:00',
               '2001-09-01 06:00:00', '2001-09-01 06:15:00',
               '2001-09-01 06:30:00', '2001-09-01 06:45:00',
               '2001-09-01 07:00:00', '2001-09-01 07:15:00',
               '2001-09-01 07:30:00', '2001-09-01 07:45:00',
               '2001-09-01 08:00:00', '2001-09-11 20:15:00',
               '2001-09-11 20:30:00', '2001-09-11 20:45:00',
               '2001-09-30 07:45:00', '2001-09-30 08:00:00',
               '2001-09-30 08:15:00', '2001-09-30 08:30:00',
               '2001-09-30 08:45:00', '2001-09-30 09:00:00',
               '2001-09-30 09:15:00', '2001-09-30 09:30:00',
               '2001-09-30 09:45:00', '2001-09-30 10:00:00',
               '2001-09-30 10:15:00', '2001-09-30 10:30:00',
               '2001-09-30 10:45:00', '2001-09-30 11:00:00',
               '2001-09-30 11:15:00', '2001-09-30 11:30:00',
               '2001-09-30 11:45:00', '2001-09-30 12:00:00',
               '2001-09-30 12:15:00', '2001-09-30 12:30:00',
               '2001-09-30 12:45:00', '2001-09-30 13:00:00',
               '2001-09-30 13:15:00', '2001-09-30 13:30:00',
               '2001-09-30 13:45:00', '2001-09-30 14:00:00',
               '2001-09-30 14:15:00', '2001-09-30 14:30:00',
               '2001-09-30 14:45:00', '2001-09-30 15:00:00',
               '2001-09-30 15:15:00', '2001-09-30 15:30:00',
               '2001-09-30 15:45:00', '2001-09-30 16:00:00',
               '2001-09-30 16:15:00', '2001-09-30 16:30:00',
               '2001-09-30 16:45:00', '2001-09-30 17:00:00',
               '2001-09-30 17:15:00', '2001-09-30 17:30:00',
               '2001-09-30 17:45:00', '2001-09-30 18:00:00',
               '2001-09-30 18:15:00', '2001-09-30 18:30:00',
               '2001-09-30 18:45:00', '2001-09-30 19:00:00',
               '2001-09-30 19:15:00', '2001-09-30 19:30:00',
               '2001-09-30 19:45:00', '2001-09-30 20:00:00',
               '2001-09-30 20:15:00', '2001-09-30 20:30:00',
               '2001-09-30 20:45:00', '2001-09-30 21:00:00',
               '2001-09-30 21:15:00', '2001-09-30 21:30:00',
               '2001-09-30 21:45:00', '2001-09-30 22:00:00',
               '2001-09-30 22:15:00', '2001-09-30 22:30:00',
               '2001-09-30 22:45:00', '2001-09-30 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-9-1T00 to 2001-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-9-1T00 to 2001-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-10-19 08:00:00', '2001-10-19 08:15:00',
               '2001-10-19 08:30:00', '2001-10-19 08:45:00',
               '2001-10-19 09:00:00', '2001-10-19 09:15:00',
               '2001-10-19 09:30:00', '2001-10-19 09:45:00',
               '2001-10-19 10:00:00', '2001-10-19 10:15:00',
               ...
               '2001-10-31 20:45:00', '2001-10-31 21:00:00',
               '2001-10-31 21:15:00', '2001-10-31 21:30:00',
               '2001-10-31 21:45:00', '2001-10-31 22:00:00',
               '2001-10-31 22:15:00', '2001-10-31 22:30:00',
               '2001-10-31 22:45:00', '2001-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1213, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               ...
               '2001-10-18 05:45:00', '2001-10-18 06:00:00',
               '2001-10-18 06:15:00', '2001-10-18 06:30:00',
               '2001-10-18 06:45:00', '2001-10-18 07:00:00',
               '2001-10-18 07:15:00', '2001-10-18 07:30:00',
               '2001-10-18 07:45:00', '2001-10-18 08:00:00'],
              dtype='datetime64[ns]', length=424, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               ...
               '2001-10-31 20:45:00', '2001-10-31 21:00:00',
               '2001-10-31 21:15:00', '2001-10-31 21:30:00',
               '2001-10-31 21:45:00', '2001-10-31 22:00:00',
               '2001-10-31 22:15:00', '2001-10-31 22:30:00',
               '2001-10-31 22:45:00', '2001-10-31 23:00:00'],
              dtype='datetime64[ns]', length=961, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               '2001-10-01 02:30:00', '2001-10-01 02:45:00',
               '2001-10-01 03:00:00', '2001-10-01 03:15:00',
               '2001-10-01 03:30:00', '2001-10-01 03:45:00',
               '2001-10-01 04:00:00', '2001-10-01 04:15:00',
               '2001-10-01 04:30:00', '2001-10-01 04:45:00',
               '2001-10-01 05:00:00', '2001-10-01 05:15:00',
               '2001-10-01 05:30:00', '2001-10-01 05:45:00',
               '2001-10-01 06:00:00', '2001-10-01 06:15:00',
               '2001-10-01 06:30:00', '2001-10-01 06:45:00',
               '2001-10-01 07:00:00', '2001-10-01 07:15:00',
               '2001-10-01 07:30:00', '2001-10-01 07:45:00',
               '2001-10-01 08:00:00', '2001-10-28 08:45:00',
               '2001-10-28 09:00:00', '2001-10-28 09:15:00',
               '2001-10-28 09:30:00', '2001-10-28 09:45:00',
               '2001-10-28 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-10-23 08:00:00', '2001-10-23 08:15:00',
               '2001-10-23 08:30:00', '2001-10-23 08:45:00',
               '2001-10-23 09:00:00', '2001-10-23 09:15:00',
               '2001-10-23 09:30:00', '2001-10-23 09:45:00',
               '2001-10-23 10:00:00', '2001-10-23 10:15:00',
               ...
               '2001-10-31 20:45:00', '2001-10-31 21:00:00',
               '2001-10-31 21:15:00', '2001-10-31 21:30:00',
               '2001-10-31 21:45:00', '2001-10-31 22:00:00',
               '2001-10-31 22:15:00', '2001-10-31 22:30:00',
               '2001-10-31 22:45:00', '2001-10-31 23:00:00'],
              dtype='datetime64[ns]', length=829, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               ...
               '2001-10-21 05:45:00', '2001-10-21 06:00:00',
               '2001-10-21 06:15:00', '2001-10-21 06:30:00',
               '2001-10-21 06:45:00', '2001-10-21 07:00:00',
               '2001-10-21 07:15:00', '2001-10-21 07:30:00',
               '2001-10-21 07:45:00', '2001-10-21 08:00:00'],
              dtype='datetime64[ns]', length=229, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               '2001-10-01 02:30:00', '2001-10-01 02:45:00',
               '2001-10-01 03:00:00', '2001-10-01 03:15:00',
               '2001-10-01 03:30:00', '2001-10-01 03:45:00',
               '2001-10-01 04:00:00', '2001-10-01 04:15:00',
               '2001-10-01 04:30:00', '2001-10-01 04:45:00',
               '2001-10-01 05:00:00', '2001-10-01 05:15:00',
               '2001-10-01 05:30:00', '2001-10-01 05:45:00',
               '2001-10-01 06:00:00', '2001-10-01 06:15:00',
               '2001-10-01 06:30:00', '2001-10-01 06:45:00',
               '2001-10-01 07:00:00', '2001-10-01 07:15:00',
               '2001-10-01 07:30:00', '2001-10-01 07:45:00',
               '2001-10-01 08:00:00', '2001-10-28 08:45:00',
               '2001-10-28 09:00:00', '2001-10-28 09:15:00',
               '2001-10-28 09:30:00', '2001-10-28 09:45:00',
               '2001-10-28 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               ...
               '2001-10-20 07:15:00', '2001-10-20 07:30:00',
               '2001-10-20 07:45:00', '2001-10-20 08:00:00',
               '2001-10-28 08:45:00', '2001-10-28 09:00:00',
               '2001-10-28 09:15:00', '2001-10-28 09:30:00',
               '2001-10-28 09:45:00', '2001-10-28 10:00:00'],
              dtype='datetime64[ns]', length=425, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               '2001-10-01 02:30:00', '2001-10-01 02:45:00',
               '2001-10-01 03:00:00', '2001-10-01 03:15:00',
               '2001-10-01 03:30:00', '2001-10-01 03:45:00',
               '2001-10-01 04:00:00', '2001-10-01 04:15:00',
               '2001-10-01 04:30:00', '2001-10-01 04:45:00',
               '2001-10-01 05:00:00', '2001-10-01 05:15:00',
               '2001-10-01 05:30:00', '2001-10-01 05:45:00',
               '2001-10-01 06:00:00', '2001-10-01 06:15:00',
               '2001-10-01 06:30:00', '2001-10-01 06:45:00',
               '2001-10-01 07:00:00', '2001-10-01 07:15:00',
               '2001-10-01 07:30:00', '2001-10-01 07:45:00',
               '2001-10-01 08:00:00', '2001-10-28 08:45:00',
               '2001-10-28 09:00:00', '2001-10-28 09:15:00',
               '2001-10-28 09:30:00', '2001-10-28 09:45:00',
               '2001-10-28 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               ...
               '2001-10-31 20:45:00', '2001-10-31 21:00:00',
               '2001-10-31 21:15:00', '2001-10-31 21:30:00',
               '2001-10-31 21:45:00', '2001-10-31 22:00:00',
               '2001-10-31 22:15:00', '2001-10-31 22:30:00',
               '2001-10-31 22:45:00', '2001-10-31 23:00:00'],
              dtype='datetime64[ns]', length=770, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-10-10 08:00:00', '2001-10-10 08:15:00',
               '2001-10-10 08:30:00', '2001-10-10 08:45:00',
               '2001-10-10 09:00:00', '2001-10-10 09:15:00',
               '2001-10-10 09:30:00', '2001-10-10 09:45:00',
               '2001-10-10 10:00:00', '2001-10-10 10:15:00',
               ...
               '2001-10-31 20:45:00', '2001-10-31 21:00:00',
               '2001-10-31 21:15:00', '2001-10-31 21:30:00',
               '2001-10-31 21:45:00', '2001-10-31 22:00:00',
               '2001-10-31 22:15:00', '2001-10-31 22:30:00',
               '2001-10-31 22:45:00', '2001-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2077, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-10-01 00:00:00', '2001-10-01 00:15:00',
               '2001-10-01 00:30:00', '2001-10-01 00:45:00',
               '2001-10-01 01:00:00', '2001-10-01 01:15:00',
               '2001-10-01 01:30:00', '2001-10-01 01:45:00',
               '2001-10-01 02:00:00', '2001-10-01 02:15:00',
               ...
               '2001-10-06 05:45:00', '2001-10-06 06:00:00',
               '2001-10-06 06:15:00', '2001-10-06 06:30:00',
               '2001-10-06 06:45:00', '2001-10-06 07:00:00',
               '2001-10-06 07:15:00', '2001-10-06 07:30:00',
               '2001-10-06 07:45:00', '2001-10-06 08:00:00'],
              dtype='datetime64[ns]', length=513, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-10-1T00 to 2001-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-10-1T00 to 2001-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-11-01 00:00:00', '2001-11-01 00:15:00',
               '2001-11-01 00:30:00', '2001-11-01 00:45:00',
               '2001-11-01 01:00:00', '2001-11-01 01:15:00',
               '2001-11-01 01:30:00', '2001-11-01 01:45:00',
               '2001-11-01 02:00:00', '2001-11-01 02:15:00',
               ...
               '2001-11-30 20:45:00', '2001-11-30 21:00:00',
               '2001-11-30 21:15:00', '2001-11-30 21:30:00',
               '2001-11-30 21:45:00', '2001-11-30 22:00:00',
               '2001-11-30 22:15:00', '2001-11-30 22:30:00',
               '2001-11-30 22:45:00', '2001-11-30 23:00:00'],
              dtype='datetime64[ns]', length=673, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-11-01 00:00:00', '2001-11-01 00:15:00',
               '2001-11-01 00:30:00', '2001-11-01 00:45:00',
               '2001-11-01 01:00:00', '2001-11-01 01:15:00',
               '2001-11-01 01:30:00', '2001-11-01 01:45:00',
               '2001-11-01 02:00:00', '2001-11-01 02:15:00',
               '2001-11-01 02:30:00', '2001-11-01 02:45:00',
               '2001-11-01 03:00:00', '2001-11-01 03:15:00',
               '2001-11-01 03:30:00', '2001-11-01 03:45:00',
               '2001-11-01 04:00:00', '2001-11-01 04:15:00',
               '2001-11-01 04:30:00', '2001-11-01 04:45:00',
               '2001-11-01 05:00:00', '2001-11-01 05:15:00',
               '2001-11-01 05:30:00', '2001-11-01 05:45:00',
               '2001-11-01 06:00:00', '2001-11-01 06:15:00',
               '2001-11-01 06:30:00', '2001-11-01 06:45:00',
               '2001-11-01 07:00:00', '2001-11-01 07:15:00',
               '2001-11-01 07:30:00', '2001-11-01 07:45:00',
               '2001-11-01 08:00:00', '2001-11-01 08:15:00',
               '2001-11-01 08:30:00', '2001-11-01 08:45:00',
               '2001-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-11-07 09:00:00', '2001-11-07 09:15:00',
               '2001-11-07 09:30:00', '2001-11-07 09:45:00',
               '2001-11-07 10:00:00', '2001-11-07 10:15:00',
               '2001-11-07 10:30:00', '2001-11-07 10:45:00',
               '2001-11-07 11:00:00', '2001-11-07 11:15:00',
               ...
               '2001-11-30 20:45:00', '2001-11-30 21:00:00',
               '2001-11-30 21:15:00', '2001-11-30 21:30:00',
               '2001-11-30 21:45:00', '2001-11-30 22:00:00',
               '2001-11-30 22:15:00', '2001-11-30 22:30:00',
               '2001-11-30 22:45:00', '2001-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2265, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-11-01 00:00:00', '2001-11-01 00:15:00',
               '2001-11-01 00:30:00', '2001-11-01 00:45:00',
               '2001-11-01 01:00:00', '2001-11-01 01:15:00',
               '2001-11-01 01:30:00', '2001-11-01 01:45:00',
               '2001-11-01 02:00:00', '2001-11-01 02:15:00',
               '2001-11-01 02:30:00', '2001-11-01 02:45:00',
               '2001-11-01 03:00:00', '2001-11-01 03:15:00',
               '2001-11-01 03:30:00', '2001-11-01 03:45:00',
               '2001-11-01 04:00:00', '2001-11-01 04:15:00',
               '2001-11-01 04:30:00', '2001-11-01 04:45:00',
               '2001-11-01 05:00:00', '2001-11-01 05:15:00',
               '2001-11-01 05:30:00', '2001-11-01 05:45:00',
               '2001-11-01 06:00:00', '2001-11-01 06:15:00',
               '2001-11-01 06:30:00', '2001-11-01 06:45:00',
               '2001-11-01 07:00:00', '2001-11-01 07:15:00',
               '2001-11-01 07:30:00', '2001-11-01 07:45:00',
               '2001-11-01 08:00:00', '2001-11-01 08:15:00',
               '2001-11-01 08:30:00', '2001-11-01 08:45:00',
               '2001-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-11-01 00:00:00', '2001-11-01 00:15:00',
               '2001-11-01 00:30:00', '2001-11-01 00:45:00',
               '2001-11-01 01:00:00', '2001-11-01 01:15:00',
               '2001-11-01 01:30:00', '2001-11-01 01:45:00',
               '2001-11-01 02:00:00', '2001-11-01 02:15:00',
               ...
               '2001-11-30 20:45:00', '2001-11-30 21:00:00',
               '2001-11-30 21:15:00', '2001-11-30 21:30:00',
               '2001-11-30 21:45:00', '2001-11-30 22:00:00',
               '2001-11-30 22:15:00', '2001-11-30 22:30:00',
               '2001-11-30 22:45:00', '2001-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1347, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-11-1T00 to 2001-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-11-1T00 to 2001-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-12-08 09:00:00', '2001-12-08 09:15:00',
               '2001-12-08 09:30:00', '2001-12-08 09:45:00',
               '2001-12-08 10:00:00', '2001-12-08 10:15:00',
               '2001-12-08 10:30:00', '2001-12-08 10:45:00',
               '2001-12-08 11:00:00', '2001-12-08 11:15:00',
               ...
               '2001-12-20 06:30:00', '2001-12-20 06:45:00',
               '2001-12-20 07:00:00', '2001-12-20 07:15:00',
               '2001-12-20 07:30:00', '2001-12-20 07:45:00',
               '2001-12-20 08:00:00', '2001-12-20 08:15:00',
               '2001-12-20 08:30:00', '2001-12-20 08:45:00'],
              dtype='datetime64[ns]', length=1152, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-12-01 00:00:00', '2001-12-01 00:15:00',
               '2001-12-01 00:30:00', '2001-12-01 00:45:00',
               '2001-12-01 01:00:00', '2001-12-01 01:15:00',
               '2001-12-01 01:30:00', '2001-12-01 01:45:00',
               '2001-12-01 02:00:00', '2001-12-01 02:15:00',
               ...
               '2001-12-06 06:45:00', '2001-12-06 07:00:00',
               '2001-12-06 07:15:00', '2001-12-06 07:30:00',
               '2001-12-06 07:45:00', '2001-12-06 08:00:00',
               '2001-12-06 08:15:00', '2001-12-06 08:30:00',
               '2001-12-06 08:45:00', '2001-12-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-12-01 00:00:00', '2001-12-01 00:15:00',
               '2001-12-01 00:30:00', '2001-12-01 00:45:00',
               '2001-12-01 01:00:00', '2001-12-01 01:15:00',
               '2001-12-01 01:30:00', '2001-12-01 01:45:00',
               '2001-12-01 02:00:00', '2001-12-01 02:15:00',
               ...
               '2001-12-25 06:30:00', '2001-12-25 06:45:00',
               '2001-12-25 07:00:00', '2001-12-25 07:15:00',
               '2001-12-25 07:30:00', '2001-12-25 07:45:00',
               '2001-12-25 08:00:00', '2001-12-25 08:15:00',
               '2001-12-25 08:30:00', '2001-12-25 08:45:00'],
              dtype='datetime64[ns]', length=2340, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-12-01 00:00:00', '2001-12-01 00:15:00',
               '2001-12-01 00:30:00', '2001-12-01 00:45:00',
               '2001-12-01 01:00:00', '2001-12-01 01:15:00',
               '2001-12-01 01:30:00', '2001-12-01 01:45:00',
               '2001-12-01 02:00:00', '2001-12-01 02:15:00',
               '2001-12-01 02:30:00', '2001-12-01 02:45:00',
               '2001-12-01 03:00:00', '2001-12-01 03:15:00',
               '2001-12-01 03:30:00', '2001-12-01 03:45:00',
               '2001-12-01 04:00:00', '2001-12-01 04:15:00',
               '2001-12-01 04:30:00', '2001-12-01 04:45:00',
               '2001-12-01 05:00:00', '2001-12-01 05:15:00',
               '2001-12-01 05:30:00', '2001-12-01 05:45:00',
               '2001-12-01 06:00:00', '2001-12-01 06:15:00',
               '2001-12-01 06:30:00', '2001-12-01 06:45:00',
               '2001-12-01 07:00:00', '2001-12-01 07:15:00',
               '2001-12-01 07:30:00', '2001-12-01 07:45:00',
               '2001-12-01 08:00:00', '2001-12-01 08:15:00',
               '2001-12-01 08:30:00', '2001-12-01 08:45:00',
               '2001-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2001-12-01 00:00:00', '2001-12-01 00:15:00',
               '2001-12-01 00:30:00', '2001-12-01 00:45:00',
               '2001-12-01 01:00:00', '2001-12-01 01:15:00',
               '2001-12-01 01:30:00', '2001-12-01 01:45:00',
               '2001-12-01 02:00:00', '2001-12-01 02:15:00',
               ...
               '2001-12-29 06:30:00', '2001-12-29 06:45:00',
               '2001-12-29 07:00:00', '2001-12-29 07:15:00',
               '2001-12-29 07:30:00', '2001-12-29 07:45:00',
               '2001-12-29 08:00:00', '2001-12-29 08:15:00',
               '2001-12-29 08:30:00', '2001-12-29 08:45:00'],
              dtype='datetime64[ns]', length=2724, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2001-12-31 08:45:00', '2001-12-31 09:00:00',
               '2001-12-31 09:15:00', '2001-12-31 09:30:00',
               '2001-12-31 09:45:00', '2001-12-31 10:00:00',
               '2001-12-31 10:15:00', '2001-12-31 10:30:00',
               '2001-12-31 10:45:00', '2001-12-31 11:00:00',
               '2001-12-31 11:15:00', '2001-12-31 11:30:00',
               '2001-12-31 11:45:00', '2001-12-31 12:00:00',
               '2001-12-31 12:15:00', '2001-12-31 12:30:00',
               '2001-12-31 12:45:00', '2001-12-31 13:00:00',
               '2001-12-31 13:15:00', '2001-12-31 13:30:00',
               '2001-12-31 13:45:00', '2001-12-31 14:00:00',
               '2001-12-31 14:15:00', '2001-12-31 14:30:00',
               '2001-12-31 14:45:00', '2001-12-31 15:00:00',
               '2001-12-31 15:15:00', '2001-12-31 15:30:00',
               '2001-12-31 15:45:00', '2001-12-31 16:00:00',
               '2001-12-31 16:15:00', '2001-12-31 16:30:00',
               '2001-12-31 16:45:00', '2001-12-31 17:00:00',
               '2001-12-31 17:15:00', '2001-12-31 17:30:00',
               '2001-12-31 17:45:00', '2001-12-31 18:00:00',
               '2001-12-31 18:15:00', '2001-12-31 18:30:00',
               '2001-12-31 18:45:00', '2001-12-31 19:00:00',
               '2001-12-31 19:15:00', '2001-12-31 19:30:00',
               '2001-12-31 19:45:00', '2001-12-31 20:00:00',
               '2001-12-31 20:15:00', '2001-12-31 20:30:00',
               '2001-12-31 20:45:00', '2001-12-31 21:00:00',
               '2001-12-31 21:15:00', '2001-12-31 21:30:00',
               '2001-12-31 21:45:00', '2001-12-31 22:00:00',
               '2001-12-31 22:15:00', '2001-12-31 22:30:00',
               '2001-12-31 22:45:00', '2001-12-31 23:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2001-12-1T00 to 2001-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2001-12-1T00 to 2001-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2002

year = 2002
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-01-01 00:00:00', '2002-01-01 00:15:00',
               '2002-01-01 00:30:00', '2002-01-01 00:45:00',
               '2002-01-01 01:00:00', '2002-01-01 01:15:00',
               '2002-01-01 01:30:00', '2002-01-01 01:45:00',
               '2002-01-01 02:00:00', '2002-01-01 02:15:00',
               ...
               '2002-01-30 06:45:00', '2002-01-30 07:00:00',
               '2002-01-30 07:15:00', '2002-01-30 07:30:00',
               '2002-01-30 07:45:00', '2002-01-30 08:00:00',
               '2002-01-30 08:15:00', '2002-01-30 08:30:00',
               '2002-01-30 08:45:00', '2002-01-30 09:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-01-22 09:00:00', '2002-01-22 09:15:00',
               '2002-01-22 09:30:00', '2002-01-22 09:45:00',
               '2002-01-22 10:00:00', '2002-01-22 10:15:00',
               '2002-01-22 10:30:00', '2002-01-22 10:45:00',
               '2002-01-22 11:00:00', '2002-01-22 11:15:00',
               ...
               '2002-01-31 20:45:00', '2002-01-31 21:00:00',
               '2002-01-31 21:15:00', '2002-01-31 21:30:00',
               '2002-01-31 21:45:00', '2002-01-31 22:00:00',
               '2002-01-31 22:15:00', '2002-01-31 22:30:00',
               '2002-01-31 22:45:00', '2002-01-31 23:00:00'],
              dtype='datetime64[ns]', length=921, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-01-01 00:00:00', '2002-01-01 00:15:00',
               '2002-01-01 00:30:00', '2002-01-01 00:45:00',
               '2002-01-01 01:00:00', '2002-01-01 01:15:00',
               '2002-01-01 01:30:00', '2002-01-01 01:45:00',
               '2002-01-01 02:00:00', '2002-01-01 02:15:00',
               ...
               '2002-01-08 06:45:00', '2002-01-08 07:00:00',
               '2002-01-08 07:15:00', '2002-01-08 07:30:00',
               '2002-01-08 07:45:00', '2002-01-08 08:00:00',
               '2002-01-08 08:15:00', '2002-01-08 08:30:00',
               '2002-01-08 08:45:00', '2002-01-08 09:00:00'],
              dtype='datetime64[ns]', length=327, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-01-01 00:00:00', '2002-01-01 00:15:00',
               '2002-01-01 00:30:00', '2002-01-01 00:45:00',
               '2002-01-01 01:00:00', '2002-01-01 01:15:00',
               '2002-01-01 01:30:00', '2002-01-01 01:45:00',
               '2002-01-01 02:00:00', '2002-01-01 02:15:00',
               '2002-01-01 02:30:00', '2002-01-01 02:45:00',
               '2002-01-01 03:00:00', '2002-01-01 03:15:00',
               '2002-01-01 03:30:00', '2002-01-01 03:45:00',
               '2002-01-01 04:00:00', '2002-01-01 04:15:00',
               '2002-01-01 04:30:00', '2002-01-01 04:45:00',
               '2002-01-01 05:00:00', '2002-01-01 05:15:00',
               '2002-01-01 05:30:00', '2002-01-01 05:45:00',
               '2002-01-01 06:00:00', '2002-01-01 06:15:00',
               '2002-01-01 06:30:00', '2002-01-01 06:45:00',
               '2002-01-01 07:00:00', '2002-01-01 07:15:00',
               '2002-01-01 07:30:00', '2002-01-01 07:45:00',
               '2002-01-01 08:00:00', '2002-01-01 08:15:00',
               '2002-01-01 08:30:00', '2002-01-01 08:45:00',
               '2002-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-01-21 09:00:00', '2002-01-21 09:15:00',
               '2002-01-21 09:30:00', '2002-01-21 09:45:00',
               '2002-01-21 10:00:00', '2002-01-21 10:15:00',
               '2002-01-21 10:30:00', '2002-01-21 10:45:00',
               '2002-01-21 11:00:00', '2002-01-21 11:15:00',
               ...
               '2002-01-31 20:45:00', '2002-01-31 21:00:00',
               '2002-01-31 21:15:00', '2002-01-31 21:30:00',
               '2002-01-31 21:45:00', '2002-01-31 22:00:00',
               '2002-01-31 22:15:00', '2002-01-31 22:30:00',
               '2002-01-31 22:45:00', '2002-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1017, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-01-01 00:00:00', '2002-01-01 00:15:00',
               '2002-01-01 00:30:00', '2002-01-01 00:45:00',
               '2002-01-01 01:00:00', '2002-01-01 01:15:00',
               '2002-01-01 01:30:00', '2002-01-01 01:45:00',
               '2002-01-01 02:00:00', '2002-01-01 02:15:00',
               '2002-01-01 02:30:00', '2002-01-01 02:45:00',
               '2002-01-01 03:00:00', '2002-01-01 03:15:00',
               '2002-01-01 03:30:00', '2002-01-01 03:45:00',
               '2002-01-01 04:00:00', '2002-01-01 04:15:00',
               '2002-01-01 04:30:00', '2002-01-01 04:45:00',
               '2002-01-01 05:00:00', '2002-01-01 05:15:00',
               '2002-01-01 05:30:00', '2002-01-01 05:45:00',
               '2002-01-01 06:00:00', '2002-01-01 06:15:00',
               '2002-01-01 06:30:00', '2002-01-01 06:45:00',
               '2002-01-01 07:00:00', '2002-01-01 07:15:00',
               '2002-01-01 07:30:00', '2002-01-01 07:45:00',
               '2002-01-01 08:00:00', '2002-01-01 08:15:00',
               '2002-01-01 08:30:00', '2002-01-01 08:45:00',
               '2002-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-1-1T00 to 2002-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-1-1T00 to 2002-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-02-01 00:00:00', '2002-02-01 00:15:00',
               '2002-02-01 00:30:00', '2002-02-01 00:45:00',
               '2002-02-01 01:00:00', '2002-02-01 01:15:00',
               '2002-02-01 01:30:00', '2002-02-01 01:45:00',
               '2002-02-01 02:00:00', '2002-02-01 02:15:00',
               '2002-02-01 02:30:00', '2002-02-01 02:45:00',
               '2002-02-01 03:00:00', '2002-02-01 03:15:00',
               '2002-02-01 03:30:00', '2002-02-01 03:45:00',
               '2002-02-01 04:00:00', '2002-02-01 04:15:00',
               '2002-02-01 04:30:00', '2002-02-01 04:45:00',
               '2002-02-01 05:00:00', '2002-02-01 05:15:00',
               '2002-02-01 05:30:00', '2002-02-01 05:45:00',
               '2002-02-01 06:00:00', '2002-02-01 06:15:00',
               '2002-02-01 06:30:00', '2002-02-01 06:45:00',
               '2002-02-01 07:00:00', '2002-02-01 07:15:00',
               '2002-02-01 07:30:00', '2002-02-01 07:45:00',
               '2002-02-01 08:00:00', '2002-02-01 08:15:00',
               '2002-02-01 08:30:00', '2002-02-01 08:45:00',
               '2002-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-02-01 00:00:00', '2002-02-01 00:15:00',
               '2002-02-01 00:30:00', '2002-02-01 00:45:00',
               '2002-02-01 01:00:00', '2002-02-01 01:15:00',
               '2002-02-01 01:30:00', '2002-02-01 01:45:00',
               '2002-02-01 02:00:00', '2002-02-01 02:15:00',
               ...
               '2002-02-15 06:30:00', '2002-02-15 06:45:00',
               '2002-02-15 07:00:00', '2002-02-15 07:15:00',
               '2002-02-15 07:30:00', '2002-02-15 07:45:00',
               '2002-02-15 08:00:00', '2002-02-15 08:15:00',
               '2002-02-15 08:30:00', '2002-02-15 08:45:00'],
              dtype='datetime64[ns]', length=1380, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-02-20 08:45:00', '2002-02-20 09:00:00',
               '2002-02-20 09:15:00', '2002-02-20 09:30:00',
               '2002-02-20 09:45:00', '2002-02-20 10:00:00',
               '2002-02-20 10:15:00', '2002-02-20 10:30:00',
               '2002-02-20 10:45:00', '2002-02-20 11:00:00',
               ...
               '2002-02-27 06:45:00', '2002-02-27 07:00:00',
               '2002-02-27 07:15:00', '2002-02-27 07:30:00',
               '2002-02-27 07:45:00', '2002-02-27 08:00:00',
               '2002-02-27 08:15:00', '2002-02-27 08:30:00',
               '2002-02-27 08:45:00', '2002-02-27 09:00:00'],
              dtype='datetime64[ns]', length=674, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-02-01 00:00:00', '2002-02-01 00:15:00',
               '2002-02-01 00:30:00', '2002-02-01 00:45:00',
               '2002-02-01 01:00:00', '2002-02-01 01:15:00',
               '2002-02-01 01:30:00', '2002-02-01 01:45:00',
               '2002-02-01 02:00:00', '2002-02-01 02:15:00',
               '2002-02-01 02:30:00', '2002-02-01 02:45:00',
               '2002-02-01 03:00:00', '2002-02-01 03:15:00',
               '2002-02-01 03:30:00', '2002-02-01 03:45:00',
               '2002-02-01 04:00:00', '2002-02-01 04:15:00',
               '2002-02-01 04:30:00', '2002-02-01 04:45:00',
               '2002-02-01 05:00:00', '2002-02-01 05:15:00',
               '2002-02-01 05:30:00', '2002-02-01 05:45:00',
               '2002-02-01 06:00:00', '2002-02-01 06:15:00',
               '2002-02-01 06:30:00', '2002-02-01 06:45:00',
               '2002-02-01 07:00:00', '2002-02-01 07:15:00',
               '2002-02-01 07:30:00', '2002-02-01 07:45:00',
               '2002-02-01 08:00:00', '2002-02-01 08:15:00',
               '2002-02-01 08:30:00', '2002-02-01 08:45:00',
               '2002-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-02-01 00:00:00', '2002-02-01 00:15:00',
               '2002-02-01 00:30:00', '2002-02-01 00:45:00',
               '2002-02-01 01:00:00', '2002-02-01 01:15:00',
               '2002-02-01 01:30:00', '2002-02-01 01:45:00',
               '2002-02-01 02:00:00', '2002-02-01 02:15:00',
               ...
               '2002-02-28 20:45:00', '2002-02-28 21:00:00',
               '2002-02-28 21:15:00', '2002-02-28 21:30:00',
               '2002-02-28 21:45:00', '2002-02-28 22:00:00',
               '2002-02-28 22:15:00', '2002-02-28 22:30:00',
               '2002-02-28 22:45:00', '2002-02-28 23:00:00'],
              dtype='datetime64[ns]', length=1349, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-2-1T00 to 2002-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-2-1T00 to 2002-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-03-09 09:00:00', '2002-03-09 09:15:00',
               '2002-03-09 09:30:00', '2002-03-09 09:45:00',
               '2002-03-09 10:00:00', '2002-03-09 10:15:00',
               '2002-03-09 10:30:00', '2002-03-09 10:45:00',
               '2002-03-09 11:00:00', '2002-03-09 11:15:00',
               ...
               '2002-03-19 06:30:00', '2002-03-19 06:45:00',
               '2002-03-19 07:00:00', '2002-03-19 07:15:00',
               '2002-03-19 07:30:00', '2002-03-19 07:45:00',
               '2002-03-19 08:00:00', '2002-03-19 08:15:00',
               '2002-03-19 08:30:00', '2002-03-19 08:45:00'],
              dtype='datetime64[ns]', length=960, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-03-01 00:00:00', '2002-03-01 00:15:00',
               '2002-03-01 00:30:00', '2002-03-01 00:45:00',
               '2002-03-01 01:00:00', '2002-03-01 01:15:00',
               '2002-03-01 01:30:00', '2002-03-01 01:45:00',
               '2002-03-01 02:00:00', '2002-03-01 02:15:00',
               '2002-03-01 02:30:00', '2002-03-01 02:45:00',
               '2002-03-01 03:00:00', '2002-03-01 03:15:00',
               '2002-03-01 03:30:00', '2002-03-01 03:45:00',
               '2002-03-01 04:00:00', '2002-03-01 04:15:00',
               '2002-03-01 04:30:00', '2002-03-01 04:45:00',
               '2002-03-01 05:00:00', '2002-03-01 05:15:00',
               '2002-03-01 05:30:00', '2002-03-01 05:45:00',
               '2002-03-01 06:00:00', '2002-03-01 06:15:00',
               '2002-03-01 06:30:00', '2002-03-01 06:45:00',
               '2002-03-01 07:00:00', '2002-03-01 07:15:00',
               '2002-03-01 07:30:00', '2002-03-01 07:45:00',
               '2002-03-01 08:00:00', '2002-03-01 08:15:00',
               '2002-03-01 08:30:00', '2002-03-01 08:45:00',
               '2002-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-03-04 09:00:00', '2002-03-04 09:15:00',
               '2002-03-04 09:30:00', '2002-03-04 09:45:00',
               '2002-03-04 10:00:00', '2002-03-04 10:15:00',
               '2002-03-04 10:30:00', '2002-03-04 10:45:00',
               '2002-03-04 11:00:00', '2002-03-04 11:15:00',
               ...
               '2002-03-26 06:30:00', '2002-03-26 06:45:00',
               '2002-03-26 07:00:00', '2002-03-26 07:15:00',
               '2002-03-26 07:30:00', '2002-03-26 07:45:00',
               '2002-03-26 08:00:00', '2002-03-26 08:15:00',
               '2002-03-26 08:30:00', '2002-03-26 08:45:00'],
              dtype='datetime64[ns]', length=2112, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-03-01 00:00:00', '2002-03-01 00:15:00',
               '2002-03-01 00:30:00', '2002-03-01 00:45:00',
               '2002-03-01 01:00:00', '2002-03-01 01:15:00',
               '2002-03-01 01:30:00', '2002-03-01 01:45:00',
               '2002-03-01 02:00:00', '2002-03-01 02:15:00',
               '2002-03-01 02:30:00', '2002-03-01 02:45:00',
               '2002-03-01 03:00:00', '2002-03-01 03:15:00',
               '2002-03-01 03:30:00', '2002-03-01 03:45:00',
               '2002-03-01 04:00:00', '2002-03-01 04:15:00',
               '2002-03-01 04:30:00', '2002-03-01 04:45:00',
               '2002-03-01 05:00:00', '2002-03-01 05:15:00',
               '2002-03-01 05:30:00', '2002-03-01 05:45:00',
               '2002-03-01 06:00:00', '2002-03-01 06:15:00',
               '2002-03-01 06:30:00', '2002-03-01 06:45:00',
               '2002-03-01 07:00:00', '2002-03-01 07:15:00',
               '2002-03-01 07:30:00', '2002-03-01 07:45:00',
               '2002-03-01 08:00:00', '2002-03-01 08:15:00',
               '2002-03-01 08:30:00', '2002-03-01 08:45:00',
               '2002-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-03-01 00:00:00', '2002-03-01 00:15:00',
               '2002-03-01 00:30:00', '2002-03-01 00:45:00',
               '2002-03-01 01:00:00', '2002-03-01 01:15:00',
               '2002-03-01 01:30:00', '2002-03-01 01:45:00',
               '2002-03-01 02:00:00', '2002-03-01 02:15:00',
               '2002-03-01 02:30:00', '2002-03-01 02:45:00',
               '2002-03-01 03:00:00', '2002-03-01 03:15:00',
               '2002-03-01 03:30:00', '2002-03-01 03:45:00',
               '2002-03-01 04:00:00', '2002-03-01 04:15:00',
               '2002-03-01 04:30:00', '2002-03-01 04:45:00',
               '2002-03-01 05:00:00', '2002-03-01 05:15:00',
               '2002-03-01 05:30:00', '2002-03-01 05:45:00',
               '2002-03-01 06:00:00', '2002-03-01 06:15:00',
               '2002-03-01 06:30:00', '2002-03-01 06:45:00',
               '2002-03-01 07:00:00', '2002-03-01 07:15:00',
               '2002-03-01 07:30:00', '2002-03-01 07:45:00',
               '2002-03-01 08:00:00', '2002-03-01 08:15:00',
               '2002-03-01 08:30:00', '2002-03-01 08:45:00',
               '2002-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-03-01 00:00:00', '2002-03-01 00:15:00',
               '2002-03-01 00:30:00', '2002-03-01 00:45:00',
               '2002-03-01 01:00:00', '2002-03-01 01:15:00',
               '2002-03-01 01:30:00', '2002-03-01 01:45:00',
               '2002-03-01 02:00:00', '2002-03-01 02:15:00',
               ...
               '2002-03-17 06:30:00', '2002-03-17 06:45:00',
               '2002-03-17 07:00:00', '2002-03-17 07:15:00',
               '2002-03-17 07:30:00', '2002-03-17 07:45:00',
               '2002-03-17 08:00:00', '2002-03-17 08:15:00',
               '2002-03-17 08:30:00', '2002-03-17 08:45:00'],
              dtype='datetime64[ns]', length=1572, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-03-23 08:45:00', '2002-03-23 09:00:00',
               '2002-03-23 09:15:00', '2002-03-23 09:30:00',
               '2002-03-23 09:45:00', '2002-03-23 10:00:00',
               '2002-03-23 10:15:00', '2002-03-23 10:30:00',
               '2002-03-23 10:45:00', '2002-03-23 11:00:00',
               ...
               '2002-03-31 20:45:00', '2002-03-31 21:00:00',
               '2002-03-31 21:15:00', '2002-03-31 21:30:00',
               '2002-03-31 21:45:00', '2002-03-31 22:00:00',
               '2002-03-31 22:15:00', '2002-03-31 22:30:00',
               '2002-03-31 22:45:00', '2002-03-31 23:00:00'],
              dtype='datetime64[ns]', length=540, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-3-1T00 to 2002-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-3-1T00 to 2002-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-04-01 00:00:00', '2002-04-01 00:15:00',
               '2002-04-01 00:30:00', '2002-04-01 00:45:00',
               '2002-04-01 01:00:00', '2002-04-01 01:15:00',
               '2002-04-01 01:30:00', '2002-04-01 01:45:00',
               '2002-04-01 02:00:00', '2002-04-01 02:15:00',
               ...
               '2002-04-18 05:30:00', '2002-04-18 05:45:00',
               '2002-04-18 06:00:00', '2002-04-18 06:15:00',
               '2002-04-18 06:30:00', '2002-04-18 06:45:00',
               '2002-04-18 07:00:00', '2002-04-18 07:15:00',
               '2002-04-18 07:30:00', '2002-04-18 07:45:00'],
              dtype='datetime64[ns]', length=1664, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-04-01 00:00:00', '2002-04-01 00:15:00',
               '2002-04-01 00:30:00', '2002-04-01 00:45:00',
               '2002-04-01 01:00:00', '2002-04-01 01:15:00',
               '2002-04-01 01:30:00', '2002-04-01 01:45:00',
               '2002-04-01 02:00:00', '2002-04-01 02:15:00',
               ...
               '2002-04-30 20:45:00', '2002-04-30 21:00:00',
               '2002-04-30 21:15:00', '2002-04-30 21:30:00',
               '2002-04-30 21:45:00', '2002-04-30 22:00:00',
               '2002-04-30 22:15:00', '2002-04-30 22:30:00',
               '2002-04-30 22:45:00', '2002-04-30 23:00:00'],
              dtype='datetime64[ns]', length=291, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-04-01 00:00:00', '2002-04-01 00:15:00',
               '2002-04-01 00:30:00', '2002-04-01 00:45:00',
               '2002-04-01 01:00:00', '2002-04-01 01:15:00',
               '2002-04-01 01:30:00', '2002-04-01 01:45:00',
               '2002-04-01 02:00:00', '2002-04-01 02:15:00',
               '2002-04-01 02:30:00', '2002-04-01 02:45:00',
               '2002-04-01 03:00:00', '2002-04-01 03:15:00',
               '2002-04-01 03:30:00', '2002-04-01 03:45:00',
               '2002-04-01 04:00:00', '2002-04-01 04:15:00',
               '2002-04-01 04:30:00', '2002-04-01 04:45:00',
               '2002-04-01 05:00:00', '2002-04-01 05:15:00',
               '2002-04-01 05:30:00', '2002-04-01 05:45:00',
               '2002-04-01 06:00:00', '2002-04-01 06:15:00',
               '2002-04-01 06:30:00', '2002-04-01 06:45:00',
               '2002-04-01 07:00:00', '2002-04-01 07:15:00',
               '2002-04-01 07:30:00', '2002-04-01 07:45:00',
               '2002-04-01 08:00:00', '2002-04-01 08:15:00',
               '2002-04-01 08:30:00', '2002-04-01 08:45:00',
               '2002-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-04-01 00:00:00', '2002-04-01 00:15:00',
               '2002-04-01 00:30:00', '2002-04-01 00:45:00',
               '2002-04-01 01:00:00', '2002-04-01 01:15:00',
               '2002-04-01 01:30:00', '2002-04-01 01:45:00',
               '2002-04-01 02:00:00', '2002-04-01 02:15:00',
               '2002-04-01 02:30:00', '2002-04-01 02:45:00',
               '2002-04-01 03:00:00', '2002-04-01 03:15:00',
               '2002-04-01 03:30:00', '2002-04-01 03:45:00',
               '2002-04-01 04:00:00', '2002-04-01 04:15:00',
               '2002-04-01 04:30:00', '2002-04-01 04:45:00',
               '2002-04-01 05:00:00', '2002-04-01 05:15:00',
               '2002-04-01 05:30:00', '2002-04-01 05:45:00',
               '2002-04-01 06:00:00', '2002-04-01 06:15:00',
               '2002-04-01 06:30:00', '2002-04-01 06:45:00',
               '2002-04-01 07:00:00', '2002-04-01 07:15:00',
               '2002-04-01 07:30:00', '2002-04-01 07:45:00',
               '2002-04-01 08:00:00', '2002-04-01 08:15:00',
               '2002-04-01 08:30:00', '2002-04-01 08:45:00',
               '2002-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-04-01 00:00:00', '2002-04-01 00:15:00',
               '2002-04-01 00:30:00', '2002-04-01 00:45:00',
               '2002-04-01 01:00:00', '2002-04-01 01:15:00',
               '2002-04-01 01:30:00', '2002-04-01 01:45:00',
               '2002-04-01 02:00:00', '2002-04-01 02:15:00',
               ...
               '2002-04-29 05:45:00', '2002-04-29 06:00:00',
               '2002-04-29 06:15:00', '2002-04-29 06:30:00',
               '2002-04-29 06:45:00', '2002-04-29 07:00:00',
               '2002-04-29 07:15:00', '2002-04-29 07:30:00',
               '2002-04-29 07:45:00', '2002-04-29 08:00:00'],
              dtype='datetime64[ns]', length=715, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-04-01 00:00:00', '2002-04-01 00:15:00',
               '2002-04-01 00:30:00', '2002-04-01 00:45:00',
               '2002-04-01 01:00:00', '2002-04-01 01:15:00',
               '2002-04-01 01:30:00', '2002-04-01 01:45:00',
               '2002-04-01 02:00:00', '2002-04-01 02:15:00',
               ...
               '2002-04-16 05:30:00', '2002-04-16 05:45:00',
               '2002-04-16 06:00:00', '2002-04-16 06:15:00',
               '2002-04-16 06:30:00', '2002-04-16 06:45:00',
               '2002-04-16 07:00:00', '2002-04-16 07:15:00',
               '2002-04-16 07:30:00', '2002-04-16 07:45:00'],
              dtype='datetime64[ns]', length=1472, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-04-18 07:45:00', '2002-04-18 08:00:00',
               '2002-04-18 08:15:00', '2002-04-18 08:30:00',
               '2002-04-18 08:45:00', '2002-04-18 09:00:00',
               '2002-04-18 09:15:00', '2002-04-18 09:30:00',
               '2002-04-18 09:45:00', '2002-04-18 10:00:00',
               ...
               '2002-04-22 05:45:00', '2002-04-22 06:00:00',
               '2002-04-22 06:15:00', '2002-04-22 06:30:00',
               '2002-04-22 06:45:00', '2002-04-22 07:00:00',
               '2002-04-22 07:15:00', '2002-04-22 07:30:00',
               '2002-04-22 07:45:00', '2002-04-22 08:00:00'],
              dtype='datetime64[ns]', length=386, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-4-1T00 to 2002-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-4-1T00 to 2002-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               '2002-05-01 02:30:00', '2002-05-01 02:45:00',
               '2002-05-01 03:00:00', '2002-05-01 03:15:00',
               '2002-05-01 03:30:00', '2002-05-01 03:45:00',
               '2002-05-01 04:00:00', '2002-05-01 04:15:00',
               '2002-05-01 04:30:00', '2002-05-01 04:45:00',
               '2002-05-01 05:00:00', '2002-05-01 05:15:00',
               '2002-05-01 05:30:00', '2002-05-01 05:45:00',
               '2002-05-01 06:00:00', '2002-05-01 06:15:00',
               '2002-05-01 06:30:00', '2002-05-01 06:45:00',
               '2002-05-01 07:00:00', '2002-05-01 07:15:00',
               '2002-05-01 07:30:00', '2002-05-01 07:45:00',
               '2002-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               '2002-05-01 02:30:00', '2002-05-01 02:45:00',
               '2002-05-01 03:00:00', '2002-05-01 03:15:00',
               '2002-05-01 03:30:00', '2002-05-01 03:45:00',
               '2002-05-01 04:00:00', '2002-05-01 04:15:00',
               '2002-05-01 04:30:00', '2002-05-01 04:45:00',
               '2002-05-01 05:00:00', '2002-05-01 05:15:00',
               '2002-05-01 05:30:00', '2002-05-01 05:45:00',
               '2002-05-01 06:00:00', '2002-05-01 06:15:00',
               '2002-05-01 06:30:00', '2002-05-01 06:45:00',
               '2002-05-01 07:00:00', '2002-05-01 07:15:00',
               '2002-05-01 07:30:00', '2002-05-01 07:45:00',
               '2002-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               '2002-05-01 02:30:00', '2002-05-01 02:45:00',
               '2002-05-01 03:00:00', '2002-05-01 03:15:00',
               '2002-05-01 03:30:00', '2002-05-01 03:45:00',
               '2002-05-01 04:00:00', '2002-05-01 04:15:00',
               '2002-05-01 04:30:00', '2002-05-01 04:45:00',
               '2002-05-01 05:00:00', '2002-05-01 05:15:00',
               '2002-05-01 05:30:00', '2002-05-01 05:45:00',
               '2002-05-01 06:00:00', '2002-05-01 06:15:00',
               '2002-05-01 06:30:00', '2002-05-01 06:45:00',
               '2002-05-01 07:00:00', '2002-05-01 07:15:00',
               '2002-05-01 07:30:00', '2002-05-01 07:45:00',
               '2002-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               ...
               '2002-05-17 05:30:00', '2002-05-17 05:45:00',
               '2002-05-17 06:00:00', '2002-05-17 06:15:00',
               '2002-05-17 06:30:00', '2002-05-17 06:45:00',
               '2002-05-17 07:00:00', '2002-05-17 07:15:00',
               '2002-05-17 07:30:00', '2002-05-17 07:45:00'],
              dtype='datetime64[ns]', length=1568, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               '2002-05-01 02:30:00', '2002-05-01 02:45:00',
               '2002-05-01 03:00:00', '2002-05-01 03:15:00',
               '2002-05-01 03:30:00', '2002-05-01 03:45:00',
               '2002-05-01 04:00:00', '2002-05-01 04:15:00',
               '2002-05-01 04:30:00', '2002-05-01 04:45:00',
               '2002-05-01 05:00:00', '2002-05-01 05:15:00',
               '2002-05-01 05:30:00', '2002-05-01 05:45:00',
               '2002-05-01 06:00:00', '2002-05-01 06:15:00',
               '2002-05-01 06:30:00', '2002-05-01 06:45:00',
               '2002-05-01 07:00:00', '2002-05-01 07:15:00',
               '2002-05-01 07:30:00', '2002-05-01 07:45:00',
               '2002-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               '2002-05-01 02:30:00', '2002-05-01 02:45:00',
               '2002-05-01 03:00:00', '2002-05-01 03:15:00',
               '2002-05-01 03:30:00', '2002-05-01 03:45:00',
               '2002-05-01 04:00:00', '2002-05-01 04:15:00',
               '2002-05-01 04:30:00', '2002-05-01 04:45:00',
               '2002-05-01 05:00:00', '2002-05-01 05:15:00',
               '2002-05-01 05:30:00', '2002-05-01 05:45:00',
               '2002-05-01 06:00:00', '2002-05-01 06:15:00',
               '2002-05-01 06:30:00', '2002-05-01 06:45:00',
               '2002-05-01 07:00:00', '2002-05-01 07:15:00',
               '2002-05-01 07:30:00', '2002-05-01 07:45:00',
               '2002-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               '2002-05-01 02:30:00', '2002-05-01 02:45:00',
               '2002-05-01 03:00:00', '2002-05-01 03:15:00',
               '2002-05-01 03:30:00', '2002-05-01 03:45:00',
               '2002-05-01 04:00:00', '2002-05-01 04:15:00',
               '2002-05-01 04:30:00', '2002-05-01 04:45:00',
               '2002-05-01 05:00:00', '2002-05-01 05:15:00',
               '2002-05-01 05:30:00', '2002-05-01 05:45:00',
               '2002-05-01 06:00:00', '2002-05-01 06:15:00',
               '2002-05-01 06:30:00', '2002-05-01 06:45:00',
               '2002-05-01 07:00:00', '2002-05-01 07:15:00',
               '2002-05-01 07:30:00', '2002-05-01 07:45:00',
               '2002-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-05-01 00:00:00', '2002-05-01 00:15:00',
               '2002-05-01 00:30:00', '2002-05-01 00:45:00',
               '2002-05-01 01:00:00', '2002-05-01 01:15:00',
               '2002-05-01 01:30:00', '2002-05-01 01:45:00',
               '2002-05-01 02:00:00', '2002-05-01 02:15:00',
               '2002-05-01 02:30:00', '2002-05-01 02:45:00',
               '2002-05-01 03:00:00', '2002-05-01 03:15:00',
               '2002-05-01 03:30:00', '2002-05-01 03:45:00',
               '2002-05-01 04:00:00', '2002-05-01 04:15:00',
               '2002-05-01 04:30:00', '2002-05-01 04:45:00',
               '2002-05-01 05:00:00', '2002-05-01 05:15:00',
               '2002-05-01 05:30:00', '2002-05-01 05:45:00',
               '2002-05-01 06:00:00', '2002-05-01 06:15:00',
               '2002-05-01 06:30:00', '2002-05-01 06:45:00',
               '2002-05-01 07:00:00', '2002-05-01 07:15:00',
               '2002-05-01 07:30:00', '2002-05-01 07:45:00',
               '2002-05-01 08:00:00', '2002-05-02 16:30:00',
               '2002-05-02 16:45:00', '2002-05-02 17:00:00',
               '2002-05-02 17:15:00', '2002-05-02 17:30:00',
               '2002-05-02 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-5-1T00 to 2002-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-5-1T00 to 2002-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-06-01 00:00:00', '2002-06-01 00:15:00',
               '2002-06-01 00:30:00', '2002-06-01 00:45:00',
               '2002-06-01 01:00:00', '2002-06-01 01:15:00',
               '2002-06-01 01:30:00', '2002-06-01 01:45:00',
               '2002-06-01 02:00:00', '2002-06-01 02:15:00',
               '2002-06-01 02:30:00', '2002-06-01 02:45:00',
               '2002-06-01 03:00:00', '2002-06-01 03:15:00',
               '2002-06-01 03:30:00', '2002-06-01 03:45:00',
               '2002-06-01 04:00:00', '2002-06-01 04:15:00',
               '2002-06-01 04:30:00', '2002-06-01 04:45:00',
               '2002-06-01 05:00:00', '2002-06-01 05:15:00',
               '2002-06-01 05:30:00', '2002-06-01 05:45:00',
               '2002-06-01 06:00:00', '2002-06-01 06:15:00',
               '2002-06-01 06:30:00', '2002-06-01 06:45:00',
               '2002-06-01 07:00:00', '2002-06-01 07:15:00',
               '2002-06-01 07:30:00', '2002-06-01 07:45:00',
               '2002-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-6-1T00 to 2002-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-6-1T00 to 2002-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-07-02 07:45:00', '2002-07-02 08:00:00',
               '2002-07-02 08:15:00', '2002-07-02 08:30:00',
               '2002-07-02 08:45:00', '2002-07-02 09:00:00',
               '2002-07-02 09:15:00', '2002-07-02 09:30:00',
               '2002-07-02 09:45:00', '2002-07-02 10:00:00',
               ...
               '2002-07-11 05:30:00', '2002-07-11 05:45:00',
               '2002-07-11 06:00:00', '2002-07-11 06:15:00',
               '2002-07-11 06:30:00', '2002-07-11 06:45:00',
               '2002-07-11 07:00:00', '2002-07-11 07:15:00',
               '2002-07-11 07:30:00', '2002-07-11 07:45:00'],
              dtype='datetime64[ns]', length=865, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00', '2002-07-13 00:45:00',
               '2002-07-13 01:00:00', '2002-07-13 01:15:00',
               '2002-07-13 01:30:00', '2002-07-13 01:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-07-03 08:00:00', '2002-07-03 08:15:00',
               '2002-07-03 08:30:00', '2002-07-03 08:45:00',
               '2002-07-03 09:00:00', '2002-07-03 09:15:00',
               '2002-07-03 09:30:00', '2002-07-03 09:45:00',
               '2002-07-03 10:00:00', '2002-07-03 10:15:00',
               ...
               '2002-07-25 05:30:00', '2002-07-25 05:45:00',
               '2002-07-25 06:00:00', '2002-07-25 06:15:00',
               '2002-07-25 06:30:00', '2002-07-25 06:45:00',
               '2002-07-25 07:00:00', '2002-07-25 07:15:00',
               '2002-07-25 07:30:00', '2002-07-25 07:45:00'],
              dtype='datetime64[ns]', length=2112, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-07-01 00:00:00', '2002-07-01 00:15:00',
               '2002-07-01 00:30:00', '2002-07-01 00:45:00',
               '2002-07-01 01:00:00', '2002-07-01 01:15:00',
               '2002-07-01 01:30:00', '2002-07-01 01:45:00',
               '2002-07-01 02:00:00', '2002-07-01 02:15:00',
               '2002-07-01 02:30:00', '2002-07-01 02:45:00',
               '2002-07-01 03:00:00', '2002-07-01 03:15:00',
               '2002-07-01 03:30:00', '2002-07-01 03:45:00',
               '2002-07-01 04:00:00', '2002-07-01 04:15:00',
               '2002-07-01 04:30:00', '2002-07-01 04:45:00',
               '2002-07-01 05:00:00', '2002-07-01 05:15:00',
               '2002-07-01 05:30:00', '2002-07-01 05:45:00',
               '2002-07-01 06:00:00', '2002-07-01 06:15:00',
               '2002-07-01 06:30:00', '2002-07-01 06:45:00',
               '2002-07-01 07:00:00', '2002-07-01 07:15:00',
               '2002-07-01 07:30:00', '2002-07-01 07:45:00',
               '2002-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-7-1T00 to 2002-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-7-1T00 to 2002-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               '2002-08-01 02:30:00', '2002-08-01 02:45:00',
               '2002-08-01 03:00:00', '2002-08-01 03:15:00',
               '2002-08-01 03:30:00', '2002-08-01 03:45:00',
               '2002-08-01 04:00:00', '2002-08-01 04:15:00',
               '2002-08-01 04:30:00', '2002-08-01 04:45:00',
               '2002-08-01 05:00:00', '2002-08-01 05:15:00',
               '2002-08-01 05:30:00', '2002-08-01 05:45:00',
               '2002-08-01 06:00:00', '2002-08-01 06:15:00',
               '2002-08-01 06:30:00', '2002-08-01 06:45:00',
               '2002-08-01 07:00:00', '2002-08-01 07:15:00',
               '2002-08-01 07:30:00', '2002-08-01 07:45:00',
               '2002-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-08-01 00:00:00', '2002-08-01 00:15:00',
               '2002-08-01 00:30:00', '2002-08-01 00:45:00',
               '2002-08-01 01:00:00', '2002-08-01 01:15:00',
               '2002-08-01 01:30:00', '2002-08-01 01:45:00',
               '2002-08-01 02:00:00', '2002-08-01 02:15:00',
               ...
               '2002-08-08 05:45:00', '2002-08-08 06:00:00',
               '2002-08-08 06:15:00', '2002-08-08 06:30:00',
               '2002-08-08 06:45:00', '2002-08-08 07:00:00',
               '2002-08-08 07:15:00', '2002-08-08 07:30:00',
               '2002-08-08 07:45:00', '2002-08-08 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-8-1T00 to 2002-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-8-1T00 to 2002-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               ...
               '2002-09-11 05:45:00', '2002-09-11 06:00:00',
               '2002-09-11 06:15:00', '2002-09-11 06:30:00',
               '2002-09-11 06:45:00', '2002-09-11 07:00:00',
               '2002-09-11 07:15:00', '2002-09-11 07:30:00',
               '2002-09-11 07:45:00', '2002-09-11 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-09-01 00:00:00', '2002-09-01 00:15:00',
               '2002-09-01 00:30:00', '2002-09-01 00:45:00',
               '2002-09-01 01:00:00', '2002-09-01 01:15:00',
               '2002-09-01 01:30:00', '2002-09-01 01:45:00',
               '2002-09-01 02:00:00', '2002-09-01 02:15:00',
               '2002-09-01 02:30:00', '2002-09-01 02:45:00',
               '2002-09-01 03:00:00', '2002-09-01 03:15:00',
               '2002-09-01 03:30:00', '2002-09-01 03:45:00',
               '2002-09-01 04:00:00', '2002-09-01 04:15:00',
               '2002-09-01 04:30:00', '2002-09-01 04:45:00',
               '2002-09-01 05:00:00', '2002-09-01 05:15:00',
               '2002-09-01 05:30:00', '2002-09-01 05:45:00',
               '2002-09-01 06:00:00', '2002-09-01 06:15:00',
               '2002-09-01 06:30:00', '2002-09-01 06:45:00',
               '2002-09-01 07:00:00', '2002-09-01 07:15:00',
               '2002-09-01 07:30:00', '2002-09-01 07:45:00',
               '2002-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-9-1T00 to 2002-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-9-1T00 to 2002-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               '2002-10-01 02:30:00', '2002-10-01 02:45:00',
               '2002-10-01 03:00:00', '2002-10-01 03:15:00',
               '2002-10-01 03:30:00', '2002-10-01 03:45:00',
               '2002-10-01 04:00:00', '2002-10-01 04:15:00',
               '2002-10-01 04:30:00', '2002-10-01 04:45:00',
               '2002-10-01 05:00:00', '2002-10-01 05:15:00',
               '2002-10-01 05:30:00', '2002-10-01 05:45:00',
               '2002-10-01 06:00:00', '2002-10-01 06:15:00',
               '2002-10-01 06:30:00', '2002-10-01 06:45:00',
               '2002-10-01 07:00:00', '2002-10-01 07:15:00',
               '2002-10-01 07:30:00', '2002-10-01 07:45:00',
               '2002-10-01 08:00:00', '2002-10-01 22:15:00',
               '2002-10-01 22:30:00', '2002-10-01 22:45:00',
               '2002-10-01 23:00:00', '2002-10-01 23:15:00',
               '2002-10-01 23:30:00', '2002-10-01 23:45:00',
               '2002-10-02 00:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               '2002-10-01 02:30:00', '2002-10-01 02:45:00',
               '2002-10-01 03:00:00', '2002-10-01 03:15:00',
               '2002-10-01 03:30:00', '2002-10-01 03:45:00',
               '2002-10-01 04:00:00', '2002-10-01 04:15:00',
               '2002-10-01 04:30:00', '2002-10-01 04:45:00',
               '2002-10-01 05:00:00', '2002-10-01 05:15:00',
               '2002-10-01 05:30:00', '2002-10-01 05:45:00',
               '2002-10-01 06:00:00', '2002-10-01 06:15:00',
               '2002-10-01 06:30:00', '2002-10-01 06:45:00',
               '2002-10-01 07:00:00', '2002-10-01 07:15:00',
               '2002-10-01 07:30:00', '2002-10-01 07:45:00',
               '2002-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               '2002-10-01 02:30:00', '2002-10-01 02:45:00',
               '2002-10-01 03:00:00', '2002-10-01 03:15:00',
               '2002-10-01 03:30:00', '2002-10-01 03:45:00',
               '2002-10-01 04:00:00', '2002-10-01 04:15:00',
               '2002-10-01 04:30:00', '2002-10-01 04:45:00',
               '2002-10-01 05:00:00', '2002-10-01 05:15:00',
               '2002-10-01 05:30:00', '2002-10-01 05:45:00',
               '2002-10-01 06:00:00', '2002-10-01 06:15:00',
               '2002-10-01 06:30:00', '2002-10-01 06:45:00',
               '2002-10-01 07:00:00', '2002-10-01 07:15:00',
               '2002-10-01 07:30:00', '2002-10-01 07:45:00',
               '2002-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               '2002-10-01 02:30:00', '2002-10-01 02:45:00',
               '2002-10-01 03:00:00', '2002-10-01 03:15:00',
               '2002-10-01 03:30:00', '2002-10-01 03:45:00',
               '2002-10-01 04:00:00', '2002-10-01 04:15:00',
               '2002-10-01 04:30:00', '2002-10-01 04:45:00',
               '2002-10-01 05:00:00', '2002-10-01 05:15:00',
               '2002-10-01 05:30:00', '2002-10-01 05:45:00',
               '2002-10-01 06:00:00', '2002-10-01 06:15:00',
               '2002-10-01 06:30:00', '2002-10-01 06:45:00',
               '2002-10-01 07:00:00', '2002-10-01 07:15:00',
               '2002-10-01 07:30:00', '2002-10-01 07:45:00',
               '2002-10-01 08:00:00', '2002-10-03 20:30:00',
               '2002-10-03 20:45:00', '2002-10-03 21:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               '2002-10-01 02:30:00', '2002-10-01 02:45:00',
               '2002-10-01 03:00:00', '2002-10-01 03:15:00',
               '2002-10-01 03:30:00', '2002-10-01 03:45:00',
               '2002-10-01 04:00:00', '2002-10-01 04:15:00',
               '2002-10-01 04:30:00', '2002-10-01 04:45:00',
               '2002-10-01 05:00:00', '2002-10-01 05:15:00',
               '2002-10-01 05:30:00', '2002-10-01 05:45:00',
               '2002-10-01 06:00:00', '2002-10-01 06:15:00',
               '2002-10-01 06:30:00', '2002-10-01 06:45:00',
               '2002-10-01 07:00:00', '2002-10-01 07:15:00',
               '2002-10-01 07:30:00', '2002-10-01 07:45:00',
               '2002-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               ...
               '2002-10-09 05:45:00', '2002-10-09 06:00:00',
               '2002-10-09 06:15:00', '2002-10-09 06:30:00',
               '2002-10-09 06:45:00', '2002-10-09 07:00:00',
               '2002-10-09 07:15:00', '2002-10-09 07:30:00',
               '2002-10-09 07:45:00', '2002-10-09 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               '2002-10-01 02:30:00', '2002-10-01 02:45:00',
               '2002-10-01 03:00:00', '2002-10-01 03:15:00',
               '2002-10-01 03:30:00', '2002-10-01 03:45:00',
               '2002-10-01 04:00:00', '2002-10-01 04:15:00',
               '2002-10-01 04:30:00', '2002-10-01 04:45:00',
               '2002-10-01 05:00:00', '2002-10-01 05:15:00',
               '2002-10-01 05:30:00', '2002-10-01 05:45:00',
               '2002-10-01 06:00:00', '2002-10-01 06:15:00',
               '2002-10-01 06:30:00', '2002-10-01 06:45:00',
               '2002-10-01 07:00:00', '2002-10-01 07:15:00',
               '2002-10-01 07:30:00', '2002-10-01 07:45:00',
               '2002-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               ...
               '2002-10-18 05:45:00', '2002-10-18 06:00:00',
               '2002-10-18 06:15:00', '2002-10-18 06:30:00',
               '2002-10-18 06:45:00', '2002-10-18 07:00:00',
               '2002-10-18 07:15:00', '2002-10-18 07:30:00',
               '2002-10-18 07:45:00', '2002-10-18 08:00:00'],
              dtype='datetime64[ns]', length=709, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-10-01 00:00:00', '2002-10-01 00:15:00',
               '2002-10-01 00:30:00', '2002-10-01 00:45:00',
               '2002-10-01 01:00:00', '2002-10-01 01:15:00',
               '2002-10-01 01:30:00', '2002-10-01 01:45:00',
               '2002-10-01 02:00:00', '2002-10-01 02:15:00',
               '2002-10-01 02:30:00', '2002-10-01 02:45:00',
               '2002-10-01 03:00:00', '2002-10-01 03:15:00',
               '2002-10-01 03:30:00', '2002-10-01 03:45:00',
               '2002-10-01 04:00:00', '2002-10-01 04:15:00',
               '2002-10-01 04:30:00', '2002-10-01 04:45:00',
               '2002-10-01 05:00:00', '2002-10-01 05:15:00',
               '2002-10-01 05:30:00', '2002-10-01 05:45:00',
               '2002-10-01 06:00:00', '2002-10-01 06:15:00',
               '2002-10-01 06:30:00', '2002-10-01 06:45:00',
               '2002-10-01 07:00:00', '2002-10-01 07:15:00',
               '2002-10-01 07:30:00', '2002-10-01 07:45:00',
               '2002-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-10-1T00 to 2002-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-10-1T00 to 2002-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               '2002-11-01 02:30:00', '2002-11-01 02:45:00',
               '2002-11-01 03:00:00', '2002-11-01 03:15:00',
               '2002-11-01 03:30:00', '2002-11-01 03:45:00',
               '2002-11-01 04:00:00', '2002-11-01 04:15:00',
               '2002-11-01 04:30:00', '2002-11-01 04:45:00',
               '2002-11-01 05:00:00', '2002-11-01 05:15:00',
               '2002-11-01 05:30:00', '2002-11-01 05:45:00',
               '2002-11-01 06:00:00', '2002-11-01 06:15:00',
               '2002-11-01 06:30:00', '2002-11-01 06:45:00',
               '2002-11-01 07:00:00', '2002-11-01 07:15:00',
               '2002-11-01 07:30:00', '2002-11-01 07:45:00',
               '2002-11-01 08:00:00', '2002-11-01 08:15:00',
               '2002-11-01 08:30:00', '2002-11-01 08:45:00',
               '2002-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               ...
               '2002-11-16 06:45:00', '2002-11-16 07:00:00',
               '2002-11-16 07:15:00', '2002-11-16 07:30:00',
               '2002-11-16 07:45:00', '2002-11-16 08:00:00',
               '2002-11-16 08:15:00', '2002-11-16 08:30:00',
               '2002-11-16 08:45:00', '2002-11-16 09:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               '2002-11-01 02:30:00', '2002-11-01 02:45:00',
               '2002-11-01 03:00:00', '2002-11-01 03:15:00',
               '2002-11-01 03:30:00', '2002-11-01 03:45:00',
               '2002-11-01 04:00:00', '2002-11-01 04:15:00',
               '2002-11-01 04:30:00', '2002-11-01 04:45:00',
               '2002-11-01 05:00:00', '2002-11-01 05:15:00',
               '2002-11-01 05:30:00', '2002-11-01 05:45:00',
               '2002-11-01 06:00:00', '2002-11-01 06:15:00',
               '2002-11-01 06:30:00', '2002-11-01 06:45:00',
               '2002-11-01 07:00:00', '2002-11-01 07:15:00',
               '2002-11-01 07:30:00', '2002-11-01 07:45:00',
               '2002-11-01 08:00:00', '2002-11-01 08:15:00',
               '2002-11-01 08:30:00', '2002-11-01 08:45:00',
               '2002-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-11-20 09:00:00', '2002-11-20 09:15:00',
               '2002-11-20 09:30:00', '2002-11-20 09:45:00',
               '2002-11-20 10:00:00', '2002-11-20 10:15:00',
               '2002-11-20 10:30:00', '2002-11-20 10:45:00',
               '2002-11-20 11:00:00', '2002-11-20 11:15:00',
               ...
               '2002-11-30 20:45:00', '2002-11-30 21:00:00',
               '2002-11-30 21:15:00', '2002-11-30 21:30:00',
               '2002-11-30 21:45:00', '2002-11-30 22:00:00',
               '2002-11-30 22:15:00', '2002-11-30 22:30:00',
               '2002-11-30 22:45:00', '2002-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1017, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               '2002-11-01 02:30:00', '2002-11-01 02:45:00',
               '2002-11-01 03:00:00', '2002-11-01 03:15:00',
               '2002-11-01 03:30:00', '2002-11-01 03:45:00',
               '2002-11-01 04:00:00', '2002-11-01 04:15:00',
               '2002-11-01 04:30:00', '2002-11-01 04:45:00',
               '2002-11-01 05:00:00', '2002-11-01 05:15:00',
               '2002-11-01 05:30:00', '2002-11-01 05:45:00',
               '2002-11-01 06:00:00', '2002-11-01 06:15:00',
               '2002-11-01 06:30:00', '2002-11-01 06:45:00',
               '2002-11-01 07:00:00', '2002-11-01 07:15:00',
               '2002-11-01 07:30:00', '2002-11-01 07:45:00',
               '2002-11-01 08:00:00', '2002-11-01 08:15:00',
               '2002-11-01 08:30:00', '2002-11-01 08:45:00',
               '2002-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               '2002-11-01 02:30:00', '2002-11-01 02:45:00',
               '2002-11-01 03:00:00', '2002-11-01 03:15:00',
               '2002-11-01 03:30:00', '2002-11-01 03:45:00',
               '2002-11-01 04:00:00', '2002-11-01 04:15:00',
               '2002-11-01 04:30:00', '2002-11-01 04:45:00',
               '2002-11-01 05:00:00', '2002-11-01 05:15:00',
               '2002-11-01 05:30:00', '2002-11-01 05:45:00',
               '2002-11-01 06:00:00', '2002-11-01 06:15:00',
               '2002-11-01 06:30:00', '2002-11-01 06:45:00',
               '2002-11-01 07:00:00', '2002-11-01 07:15:00',
               '2002-11-01 07:30:00', '2002-11-01 07:45:00',
               '2002-11-01 08:00:00', '2002-11-01 08:15:00',
               '2002-11-01 08:30:00', '2002-11-01 08:45:00',
               '2002-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               ...
               '2002-11-05 06:45:00', '2002-11-05 07:00:00',
               '2002-11-05 07:15:00', '2002-11-05 07:30:00',
               '2002-11-05 07:45:00', '2002-11-05 08:00:00',
               '2002-11-05 08:15:00', '2002-11-05 08:30:00',
               '2002-11-05 08:45:00', '2002-11-05 09:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               '2002-11-01 02:30:00', '2002-11-01 02:45:00',
               '2002-11-01 03:00:00', '2002-11-01 03:15:00',
               '2002-11-01 03:30:00', '2002-11-01 03:45:00',
               '2002-11-01 04:00:00', '2002-11-01 04:15:00',
               '2002-11-01 04:30:00', '2002-11-01 04:45:00',
               '2002-11-01 05:00:00', '2002-11-01 05:15:00',
               '2002-11-01 05:30:00', '2002-11-01 05:45:00',
               '2002-11-01 06:00:00', '2002-11-01 06:15:00',
               '2002-11-01 06:30:00', '2002-11-01 06:45:00',
               '2002-11-01 07:00:00', '2002-11-01 07:15:00',
               '2002-11-01 07:30:00', '2002-11-01 07:45:00',
               '2002-11-01 08:00:00', '2002-11-01 08:15:00',
               '2002-11-01 08:30:00', '2002-11-01 08:45:00',
               '2002-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               '2002-11-01 02:30:00', '2002-11-01 02:45:00',
               '2002-11-01 03:00:00', '2002-11-01 03:15:00',
               '2002-11-01 03:30:00', '2002-11-01 03:45:00',
               '2002-11-01 04:00:00', '2002-11-01 04:15:00',
               '2002-11-01 04:30:00', '2002-11-01 04:45:00',
               '2002-11-01 05:00:00', '2002-11-01 05:15:00',
               '2002-11-01 05:30:00', '2002-11-01 05:45:00',
               '2002-11-01 06:00:00', '2002-11-01 06:15:00',
               '2002-11-01 06:30:00', '2002-11-01 06:45:00',
               '2002-11-01 07:00:00', '2002-11-01 07:15:00',
               '2002-11-01 07:30:00', '2002-11-01 07:45:00',
               '2002-11-01 08:00:00', '2002-11-01 08:15:00',
               '2002-11-01 08:30:00', '2002-11-01 08:45:00',
               '2002-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-11-10 09:00:00', '2002-11-10 09:15:00',
               '2002-11-10 09:30:00', '2002-11-10 09:45:00',
               '2002-11-10 10:00:00', '2002-11-10 10:15:00',
               '2002-11-10 10:30:00', '2002-11-10 10:45:00',
               '2002-11-10 11:00:00', '2002-11-10 11:15:00',
               ...
               '2002-11-30 20:45:00', '2002-11-30 21:00:00',
               '2002-11-30 21:15:00', '2002-11-30 21:30:00',
               '2002-11-30 21:45:00', '2002-11-30 22:00:00',
               '2002-11-30 22:15:00', '2002-11-30 22:30:00',
               '2002-11-30 22:45:00', '2002-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-11-01 00:00:00', '2002-11-01 00:15:00',
               '2002-11-01 00:30:00', '2002-11-01 00:45:00',
               '2002-11-01 01:00:00', '2002-11-01 01:15:00',
               '2002-11-01 01:30:00', '2002-11-01 01:45:00',
               '2002-11-01 02:00:00', '2002-11-01 02:15:00',
               '2002-11-01 02:30:00', '2002-11-01 02:45:00',
               '2002-11-01 03:00:00', '2002-11-01 03:15:00',
               '2002-11-01 03:30:00', '2002-11-01 03:45:00',
               '2002-11-01 04:00:00', '2002-11-01 04:15:00',
               '2002-11-01 04:30:00', '2002-11-01 04:45:00',
               '2002-11-01 05:00:00', '2002-11-01 05:15:00',
               '2002-11-01 05:30:00', '2002-11-01 05:45:00',
               '2002-11-01 06:00:00', '2002-11-01 06:15:00',
               '2002-11-01 06:30:00', '2002-11-01 06:45:00',
               '2002-11-01 07:00:00', '2002-11-01 07:15:00',
               '2002-11-01 07:30:00', '2002-11-01 07:45:00',
               '2002-11-01 08:00:00', '2002-11-01 08:15:00',
               '2002-11-01 08:30:00', '2002-11-01 08:45:00',
               '2002-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-11-1T00 to 2002-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-11-1T00 to 2002-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-12-13 09:00:00', '2002-12-13 09:15:00',
               '2002-12-13 09:30:00', '2002-12-13 09:45:00',
               '2002-12-13 10:00:00', '2002-12-13 10:15:00',
               '2002-12-13 10:30:00', '2002-12-13 10:45:00',
               '2002-12-13 11:00:00', '2002-12-13 11:15:00',
               ...
               '2002-12-31 20:45:00', '2002-12-31 21:00:00',
               '2002-12-31 21:15:00', '2002-12-31 21:30:00',
               '2002-12-31 21:45:00', '2002-12-31 22:00:00',
               '2002-12-31 22:15:00', '2002-12-31 22:30:00',
               '2002-12-31 22:45:00', '2002-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1785, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               '2002-12-01 02:30:00', '2002-12-01 02:45:00',
               '2002-12-01 03:00:00', '2002-12-01 03:15:00',
               '2002-12-01 03:30:00', '2002-12-01 03:45:00',
               '2002-12-01 04:00:00', '2002-12-01 04:15:00',
               '2002-12-01 04:30:00', '2002-12-01 04:45:00',
               '2002-12-01 05:00:00', '2002-12-01 05:15:00',
               '2002-12-01 05:30:00', '2002-12-01 05:45:00',
               '2002-12-01 06:00:00', '2002-12-01 06:15:00',
               '2002-12-01 06:30:00', '2002-12-01 06:45:00',
               '2002-12-01 07:00:00', '2002-12-01 07:15:00',
               '2002-12-01 07:30:00', '2002-12-01 07:45:00',
               '2002-12-01 08:00:00', '2002-12-01 08:15:00',
               '2002-12-01 08:30:00', '2002-12-01 08:45:00',
               '2002-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-12-10 09:00:00', '2002-12-10 09:15:00',
               '2002-12-10 09:30:00', '2002-12-10 09:45:00',
               '2002-12-10 10:00:00', '2002-12-10 10:15:00',
               '2002-12-10 10:30:00', '2002-12-10 10:45:00',
               '2002-12-10 11:00:00', '2002-12-10 11:15:00',
               ...
               '2002-12-31 20:45:00', '2002-12-31 21:00:00',
               '2002-12-31 21:15:00', '2002-12-31 21:30:00',
               '2002-12-31 21:45:00', '2002-12-31 22:00:00',
               '2002-12-31 22:15:00', '2002-12-31 22:30:00',
               '2002-12-31 22:45:00', '2002-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2073, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               ...
               '2002-12-09 06:45:00', '2002-12-09 07:00:00',
               '2002-12-09 07:15:00', '2002-12-09 07:30:00',
               '2002-12-09 07:45:00', '2002-12-09 08:00:00',
               '2002-12-09 08:15:00', '2002-12-09 08:30:00',
               '2002-12-09 08:45:00', '2002-12-09 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               ...
               '2002-12-31 20:45:00', '2002-12-31 21:00:00',
               '2002-12-31 21:15:00', '2002-12-31 21:30:00',
               '2002-12-31 21:45:00', '2002-12-31 22:00:00',
               '2002-12-31 22:15:00', '2002-12-31 22:30:00',
               '2002-12-31 22:45:00', '2002-12-31 23:00:00'],
              dtype='datetime64[ns]', length=575, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               '2002-12-01 02:30:00', '2002-12-01 02:45:00',
               '2002-12-01 03:00:00', '2002-12-01 03:15:00',
               '2002-12-01 03:30:00', '2002-12-01 03:45:00',
               '2002-12-01 04:00:00', '2002-12-01 04:15:00',
               '2002-12-01 04:30:00', '2002-12-01 04:45:00',
               '2002-12-01 05:00:00', '2002-12-01 05:15:00',
               '2002-12-01 05:30:00', '2002-12-01 05:45:00',
               '2002-12-01 06:00:00', '2002-12-01 06:15:00',
               '2002-12-01 06:30:00', '2002-12-01 06:45:00',
               '2002-12-01 07:00:00', '2002-12-01 07:15:00',
               '2002-12-01 07:30:00', '2002-12-01 07:45:00',
               '2002-12-01 08:00:00', '2002-12-01 08:15:00',
               '2002-12-01 08:30:00', '2002-12-01 08:45:00',
               '2002-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-12-17 09:00:00', '2002-12-17 09:15:00',
               '2002-12-17 09:30:00', '2002-12-17 09:45:00',
               '2002-12-17 10:00:00', '2002-12-17 10:15:00',
               '2002-12-17 10:30:00', '2002-12-17 10:45:00',
               '2002-12-17 11:00:00', '2002-12-17 11:15:00',
               ...
               '2002-12-31 20:45:00', '2002-12-31 21:00:00',
               '2002-12-31 21:15:00', '2002-12-31 21:30:00',
               '2002-12-31 21:45:00', '2002-12-31 22:00:00',
               '2002-12-31 22:15:00', '2002-12-31 22:30:00',
               '2002-12-31 22:45:00', '2002-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1401, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               '2002-12-01 02:30:00', '2002-12-01 02:45:00',
               '2002-12-01 03:00:00', '2002-12-01 03:15:00',
               '2002-12-01 03:30:00', '2002-12-01 03:45:00',
               '2002-12-01 04:00:00', '2002-12-01 04:15:00',
               '2002-12-01 04:30:00', '2002-12-01 04:45:00',
               '2002-12-01 05:00:00', '2002-12-01 05:15:00',
               '2002-12-01 05:30:00', '2002-12-01 05:45:00',
               '2002-12-01 06:00:00', '2002-12-01 06:15:00',
               '2002-12-01 06:30:00', '2002-12-01 06:45:00',
               '2002-12-01 07:00:00', '2002-12-01 07:15:00',
               '2002-12-01 07:30:00', '2002-12-01 07:45:00',
               '2002-12-01 08:00:00', '2002-12-01 08:15:00',
               '2002-12-01 08:30:00', '2002-12-01 08:45:00',
               '2002-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               '2002-12-01 02:30:00', '2002-12-01 02:45:00',
               '2002-12-01 03:00:00', '2002-12-01 03:15:00',
               '2002-12-01 03:30:00', '2002-12-01 03:45:00',
               '2002-12-01 04:00:00', '2002-12-01 04:15:00',
               '2002-12-01 04:30:00', '2002-12-01 04:45:00',
               '2002-12-01 05:00:00', '2002-12-01 05:15:00',
               '2002-12-01 05:30:00', '2002-12-01 05:45:00',
               '2002-12-01 06:00:00', '2002-12-01 06:15:00',
               '2002-12-01 06:30:00', '2002-12-01 06:45:00',
               '2002-12-01 07:00:00', '2002-12-01 07:15:00',
               '2002-12-01 07:30:00', '2002-12-01 07:45:00',
               '2002-12-01 08:00:00', '2002-12-01 08:15:00',
               '2002-12-01 08:30:00', '2002-12-01 08:45:00',
               '2002-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-12-19 09:00:00', '2002-12-19 09:15:00',
               '2002-12-19 09:30:00', '2002-12-19 09:45:00',
               '2002-12-19 10:00:00', '2002-12-19 10:15:00',
               '2002-12-19 10:30:00', '2002-12-19 10:45:00',
               '2002-12-19 11:00:00', '2002-12-19 11:15:00',
               ...
               '2002-12-31 20:45:00', '2002-12-31 21:00:00',
               '2002-12-31 21:15:00', '2002-12-31 21:30:00',
               '2002-12-31 21:45:00', '2002-12-31 22:00:00',
               '2002-12-31 22:15:00', '2002-12-31 22:30:00',
               '2002-12-31 22:45:00', '2002-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1209, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               ...
               '2002-12-18 06:45:00', '2002-12-18 07:00:00',
               '2002-12-18 07:15:00', '2002-12-18 07:30:00',
               '2002-12-18 07:45:00', '2002-12-18 08:00:00',
               '2002-12-18 08:15:00', '2002-12-18 08:30:00',
               '2002-12-18 08:45:00', '2002-12-18 09:00:00'],
              dtype='datetime64[ns]', length=233, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2002-12-09 09:00:00', '2002-12-09 09:15:00',
               '2002-12-09 09:30:00', '2002-12-09 09:45:00',
               '2002-12-09 10:00:00', '2002-12-09 10:15:00',
               '2002-12-09 10:30:00', '2002-12-09 10:45:00',
               '2002-12-09 11:00:00', '2002-12-09 11:15:00',
               ...
               '2002-12-31 20:45:00', '2002-12-31 21:00:00',
               '2002-12-31 21:15:00', '2002-12-31 21:30:00',
               '2002-12-31 21:45:00', '2002-12-31 22:00:00',
               '2002-12-31 22:15:00', '2002-12-31 22:30:00',
               '2002-12-31 22:45:00', '2002-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2169, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2002-12-01 00:00:00', '2002-12-01 00:15:00',
               '2002-12-01 00:30:00', '2002-12-01 00:45:00',
               '2002-12-01 01:00:00', '2002-12-01 01:15:00',
               '2002-12-01 01:30:00', '2002-12-01 01:45:00',
               '2002-12-01 02:00:00', '2002-12-01 02:15:00',
               ...
               '2002-12-06 06:45:00', '2002-12-06 07:00:00',
               '2002-12-06 07:15:00', '2002-12-06 07:30:00',
               '2002-12-06 07:45:00', '2002-12-06 08:00:00',
               '2002-12-06 08:15:00', '2002-12-06 08:30:00',
               '2002-12-06 08:45:00', '2002-12-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2002-12-1T00 to 2002-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2002-12-1T00 to 2002-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2003

year = 2003
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-01-01 00:00:00', '2003-01-01 00:15:00',
               '2003-01-01 00:30:00', '2003-01-01 00:45:00',
               '2003-01-01 01:00:00', '2003-01-01 01:15:00',
               '2003-01-01 01:30:00', '2003-01-01 01:45:00',
               '2003-01-01 02:00:00', '2003-01-01 02:15:00',
               ...
               '2003-01-13 06:30:00', '2003-01-13 06:45:00',
               '2003-01-13 07:00:00', '2003-01-13 07:15:00',
               '2003-01-13 07:30:00', '2003-01-13 07:45:00',
               '2003-01-13 08:00:00', '2003-01-13 08:15:00',
               '2003-01-13 08:30:00', '2003-01-13 08:45:00'],
              dtype='datetime64[ns]', length=1188, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-01-01 00:00:00', '2003-01-01 00:15:00',
               '2003-01-01 00:30:00', '2003-01-01 00:45:00',
               '2003-01-01 01:00:00', '2003-01-01 01:15:00',
               '2003-01-01 01:30:00', '2003-01-01 01:45:00',
               '2003-01-01 02:00:00', '2003-01-01 02:15:00',
               ...
               '2003-01-27 06:45:00', '2003-01-27 07:00:00',
               '2003-01-27 07:15:00', '2003-01-27 07:30:00',
               '2003-01-27 07:45:00', '2003-01-27 08:00:00',
               '2003-01-27 08:15:00', '2003-01-27 08:30:00',
               '2003-01-27 08:45:00', '2003-01-27 09:00:00'],
              dtype='datetime64[ns]', length=1191, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-01-01 00:00:00', '2003-01-01 00:15:00',
               '2003-01-01 00:30:00', '2003-01-01 00:45:00',
               '2003-01-01 01:00:00', '2003-01-01 01:15:00',
               '2003-01-01 01:30:00', '2003-01-01 01:45:00',
               '2003-01-01 02:00:00', '2003-01-01 02:15:00',
               '2003-01-01 02:30:00', '2003-01-01 02:45:00',
               '2003-01-01 03:00:00', '2003-01-01 03:15:00',
               '2003-01-01 03:30:00', '2003-01-01 03:45:00',
               '2003-01-01 04:00:00', '2003-01-01 04:15:00',
               '2003-01-01 04:30:00', '2003-01-01 04:45:00',
               '2003-01-01 05:00:00', '2003-01-01 05:15:00',
               '2003-01-01 05:30:00', '2003-01-01 05:45:00',
               '2003-01-01 06:00:00', '2003-01-01 06:15:00',
               '2003-01-01 06:30:00', '2003-01-01 06:45:00',
               '2003-01-01 07:00:00', '2003-01-01 07:15:00',
               '2003-01-01 07:30:00', '2003-01-01 07:45:00',
               '2003-01-01 08:00:00', '2003-01-01 08:15:00',
               '2003-01-01 08:30:00', '2003-01-01 08:45:00',
               '2003-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-01-22 09:00:00', '2003-01-22 09:15:00',
               '2003-01-22 09:30:00', '2003-01-22 09:45:00',
               '2003-01-22 10:00:00', '2003-01-22 10:15:00',
               '2003-01-22 10:30:00', '2003-01-22 10:45:00',
               '2003-01-22 11:00:00', '2003-01-22 11:15:00',
               ...
               '2003-01-31 20:45:00', '2003-01-31 21:00:00',
               '2003-01-31 21:15:00', '2003-01-31 21:30:00',
               '2003-01-31 21:45:00', '2003-01-31 22:00:00',
               '2003-01-31 22:15:00', '2003-01-31 22:30:00',
               '2003-01-31 22:45:00', '2003-01-31 23:00:00'],
              dtype='datetime64[ns]', length=921, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-01-01 00:00:00', '2003-01-01 00:15:00',
               '2003-01-01 00:30:00', '2003-01-01 00:45:00',
               '2003-01-01 01:00:00', '2003-01-01 01:15:00',
               '2003-01-01 01:30:00', '2003-01-01 01:45:00',
               '2003-01-01 02:00:00', '2003-01-01 02:15:00',
               ...
               '2003-01-17 06:45:00', '2003-01-17 07:00:00',
               '2003-01-17 07:15:00', '2003-01-17 07:30:00',
               '2003-01-17 07:45:00', '2003-01-17 08:00:00',
               '2003-01-17 08:15:00', '2003-01-17 08:30:00',
               '2003-01-17 08:45:00', '2003-01-17 09:00:00'],
              dtype='datetime64[ns]', length=905, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-1-1T00 to 2003-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-1-1T00 to 2003-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-02-08 09:00:00', '2003-02-08 09:15:00',
               '2003-02-08 09:30:00', '2003-02-08 09:45:00',
               '2003-02-08 10:00:00', '2003-02-08 10:15:00',
               '2003-02-08 10:30:00', '2003-02-08 10:45:00',
               '2003-02-08 11:00:00', '2003-02-08 11:15:00',
               ...
               '2003-02-25 06:30:00', '2003-02-25 06:45:00',
               '2003-02-25 07:00:00', '2003-02-25 07:15:00',
               '2003-02-25 07:30:00', '2003-02-25 07:45:00',
               '2003-02-25 08:00:00', '2003-02-25 08:15:00',
               '2003-02-25 08:30:00', '2003-02-25 08:45:00'],
              dtype='datetime64[ns]', length=1632, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-02-01 00:00:00', '2003-02-01 00:15:00',
               '2003-02-01 00:30:00', '2003-02-01 00:45:00',
               '2003-02-01 01:00:00', '2003-02-01 01:15:00',
               '2003-02-01 01:30:00', '2003-02-01 01:45:00',
               '2003-02-01 02:00:00', '2003-02-01 02:15:00',
               ...
               '2003-02-06 06:45:00', '2003-02-06 07:00:00',
               '2003-02-06 07:15:00', '2003-02-06 07:30:00',
               '2003-02-06 07:45:00', '2003-02-06 08:00:00',
               '2003-02-06 08:15:00', '2003-02-06 08:30:00',
               '2003-02-06 08:45:00', '2003-02-06 09:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-02-01 00:00:00', '2003-02-01 00:15:00',
               '2003-02-01 00:30:00', '2003-02-01 00:45:00',
               '2003-02-01 01:00:00', '2003-02-01 01:15:00',
               '2003-02-01 01:30:00', '2003-02-01 01:45:00',
               '2003-02-01 02:00:00', '2003-02-01 02:15:00',
               '2003-02-01 02:30:00', '2003-02-01 02:45:00',
               '2003-02-01 03:00:00', '2003-02-01 03:15:00',
               '2003-02-01 03:30:00', '2003-02-01 03:45:00',
               '2003-02-01 04:00:00', '2003-02-01 04:15:00',
               '2003-02-01 04:30:00', '2003-02-01 04:45:00',
               '2003-02-01 05:00:00', '2003-02-01 05:15:00',
               '2003-02-01 05:30:00', '2003-02-01 05:45:00',
               '2003-02-01 06:00:00', '2003-02-01 06:15:00',
               '2003-02-01 06:30:00', '2003-02-01 06:45:00',
               '2003-02-01 07:00:00', '2003-02-01 07:15:00',
               '2003-02-01 07:30:00', '2003-02-01 07:45:00',
               '2003-02-01 08:00:00', '2003-02-01 08:15:00',
               '2003-02-01 08:30:00', '2003-02-01 08:45:00',
               '2003-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-02-16 09:00:00', '2003-02-16 09:15:00',
               '2003-02-16 09:30:00', '2003-02-16 09:45:00',
               '2003-02-16 10:00:00', '2003-02-16 10:15:00',
               '2003-02-16 10:30:00', '2003-02-16 10:45:00',
               '2003-02-16 11:00:00', '2003-02-16 11:15:00',
               ...
               '2003-02-28 06:30:00', '2003-02-28 06:45:00',
               '2003-02-28 07:00:00', '2003-02-28 07:15:00',
               '2003-02-28 07:30:00', '2003-02-28 07:45:00',
               '2003-02-28 08:00:00', '2003-02-28 08:15:00',
               '2003-02-28 08:30:00', '2003-02-28 08:45:00'],
              dtype='datetime64[ns]', length=1152, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-02-01 00:00:00', '2003-02-01 00:15:00',
               '2003-02-01 00:30:00', '2003-02-01 00:45:00',
               '2003-02-01 01:00:00', '2003-02-01 01:15:00',
               '2003-02-01 01:30:00', '2003-02-01 01:45:00',
               '2003-02-01 02:00:00', '2003-02-01 02:15:00',
               ...
               '2003-02-03 06:45:00', '2003-02-03 07:00:00',
               '2003-02-03 07:15:00', '2003-02-03 07:30:00',
               '2003-02-03 07:45:00', '2003-02-03 08:00:00',
               '2003-02-03 08:15:00', '2003-02-03 08:30:00',
               '2003-02-03 08:45:00', '2003-02-03 09:00:00'],
              dtype='datetime64[ns]', length=229, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-02-01 00:00:00', '2003-02-01 00:15:00',
               '2003-02-01 00:30:00', '2003-02-01 00:45:00',
               '2003-02-01 01:00:00', '2003-02-01 01:15:00',
               '2003-02-01 01:30:00', '2003-02-01 01:45:00',
               '2003-02-01 02:00:00', '2003-02-01 02:15:00',
               '2003-02-01 02:30:00', '2003-02-01 02:45:00',
               '2003-02-01 03:00:00', '2003-02-01 03:15:00',
               '2003-02-01 03:30:00', '2003-02-01 03:45:00',
               '2003-02-01 04:00:00', '2003-02-01 04:15:00',
               '2003-02-01 04:30:00', '2003-02-01 04:45:00',
               '2003-02-01 05:00:00', '2003-02-01 05:15:00',
               '2003-02-01 05:30:00', '2003-02-01 05:45:00',
               '2003-02-01 06:00:00', '2003-02-01 06:15:00',
               '2003-02-01 06:30:00', '2003-02-01 06:45:00',
               '2003-02-01 07:00:00', '2003-02-01 07:15:00',
               '2003-02-01 07:30:00', '2003-02-01 07:45:00',
               '2003-02-01 08:00:00', '2003-02-01 08:15:00',
               '2003-02-01 08:30:00', '2003-02-01 08:45:00',
               '2003-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-02-01 00:00:00', '2003-02-01 00:15:00',
               '2003-02-01 00:30:00', '2003-02-01 00:45:00',
               '2003-02-01 01:00:00', '2003-02-01 01:15:00',
               '2003-02-01 01:30:00', '2003-02-01 01:45:00',
               '2003-02-01 02:00:00', '2003-02-01 02:15:00',
               ...
               '2003-02-21 06:45:00', '2003-02-21 07:00:00',
               '2003-02-21 07:15:00', '2003-02-21 07:30:00',
               '2003-02-21 07:45:00', '2003-02-21 08:00:00',
               '2003-02-21 08:15:00', '2003-02-21 08:30:00',
               '2003-02-21 08:45:00', '2003-02-21 09:00:00'],
              dtype='datetime64[ns]', length=715, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-02-01 00:00:00', '2003-02-01 00:15:00',
               '2003-02-01 00:30:00', '2003-02-01 00:45:00',
               '2003-02-01 01:00:00', '2003-02-01 01:15:00',
               '2003-02-01 01:30:00', '2003-02-01 01:45:00',
               '2003-02-01 02:00:00', '2003-02-01 02:15:00',
               ...
               '2003-02-02 06:45:00', '2003-02-02 07:00:00',
               '2003-02-02 07:15:00', '2003-02-02 07:30:00',
               '2003-02-02 07:45:00', '2003-02-02 08:00:00',
               '2003-02-02 08:15:00', '2003-02-02 08:30:00',
               '2003-02-02 08:45:00', '2003-02-02 09:00:00'],
              dtype='datetime64[ns]', length=133, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-02-01 00:00:00', '2003-02-01 00:15:00',
               '2003-02-01 00:30:00', '2003-02-01 00:45:00',
               '2003-02-01 01:00:00', '2003-02-01 01:15:00',
               '2003-02-01 01:30:00', '2003-02-01 01:45:00',
               '2003-02-01 02:00:00', '2003-02-01 02:15:00',
               ...
               '2003-02-21 06:45:00', '2003-02-21 07:00:00',
               '2003-02-21 07:15:00', '2003-02-21 07:30:00',
               '2003-02-21 07:45:00', '2003-02-21 08:00:00',
               '2003-02-21 08:15:00', '2003-02-21 08:30:00',
               '2003-02-21 08:45:00', '2003-02-21 09:00:00'],
              dtype='datetime64[ns]', length=905, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-2-1T00 to 2003-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-2-1T00 to 2003-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-03-02 09:00:00', '2003-03-02 09:15:00',
               '2003-03-02 09:30:00', '2003-03-02 09:45:00',
               '2003-03-02 10:00:00', '2003-03-02 10:15:00',
               '2003-03-02 10:30:00', '2003-03-02 10:45:00',
               '2003-03-02 11:00:00', '2003-03-02 11:15:00',
               ...
               '2003-03-18 06:30:00', '2003-03-18 06:45:00',
               '2003-03-18 07:00:00', '2003-03-18 07:15:00',
               '2003-03-18 07:30:00', '2003-03-18 07:45:00',
               '2003-03-18 08:00:00', '2003-03-18 08:15:00',
               '2003-03-18 08:30:00', '2003-03-18 08:45:00'],
              dtype='datetime64[ns]', length=1536, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-03-01 00:00:00', '2003-03-01 00:15:00',
               '2003-03-01 00:30:00', '2003-03-01 00:45:00',
               '2003-03-01 01:00:00', '2003-03-01 01:15:00',
               '2003-03-01 01:30:00', '2003-03-01 01:45:00',
               '2003-03-01 02:00:00', '2003-03-01 02:15:00',
               ...
               '2003-03-27 06:45:00', '2003-03-27 07:00:00',
               '2003-03-27 07:15:00', '2003-03-27 07:30:00',
               '2003-03-27 07:45:00', '2003-03-27 08:00:00',
               '2003-03-27 08:15:00', '2003-03-27 08:30:00',
               '2003-03-27 08:45:00', '2003-03-27 09:00:00'],
              dtype='datetime64[ns]', length=711, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-03-01 00:00:00', '2003-03-01 00:15:00',
               '2003-03-01 00:30:00', '2003-03-01 00:45:00',
               '2003-03-01 01:00:00', '2003-03-01 01:15:00',
               '2003-03-01 01:30:00', '2003-03-01 01:45:00',
               '2003-03-01 02:00:00', '2003-03-01 02:15:00',
               '2003-03-01 02:30:00', '2003-03-01 02:45:00',
               '2003-03-01 03:00:00', '2003-03-01 03:15:00',
               '2003-03-01 03:30:00', '2003-03-01 03:45:00',
               '2003-03-01 04:00:00', '2003-03-01 04:15:00',
               '2003-03-01 04:30:00', '2003-03-01 04:45:00',
               '2003-03-01 05:00:00', '2003-03-01 05:15:00',
               '2003-03-01 05:30:00', '2003-03-01 05:45:00',
               '2003-03-01 06:00:00', '2003-03-01 06:15:00',
               '2003-03-01 06:30:00', '2003-03-01 06:45:00',
               '2003-03-01 07:00:00', '2003-03-01 07:15:00',
               '2003-03-01 07:30:00', '2003-03-01 07:45:00',
               '2003-03-01 08:00:00', '2003-03-01 08:15:00',
               '2003-03-01 08:30:00', '2003-03-01 08:45:00',
               '2003-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-03-07 09:00:00', '2003-03-07 09:15:00',
               '2003-03-07 09:30:00', '2003-03-07 09:45:00',
               '2003-03-07 10:00:00', '2003-03-07 10:15:00',
               '2003-03-07 10:30:00', '2003-03-07 10:45:00',
               '2003-03-07 11:00:00', '2003-03-07 11:15:00',
               ...
               '2003-03-31 20:45:00', '2003-03-31 21:00:00',
               '2003-03-31 21:15:00', '2003-03-31 21:30:00',
               '2003-03-31 21:45:00', '2003-03-31 22:00:00',
               '2003-03-31 22:15:00', '2003-03-31 22:30:00',
               '2003-03-31 22:45:00', '2003-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2361, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-03-01 00:00:00', '2003-03-01 00:15:00',
               '2003-03-01 00:30:00', '2003-03-01 00:45:00',
               '2003-03-01 01:00:00', '2003-03-01 01:15:00',
               '2003-03-01 01:30:00', '2003-03-01 01:45:00',
               '2003-03-01 02:00:00', '2003-03-01 02:15:00',
               '2003-03-01 02:30:00', '2003-03-01 02:45:00',
               '2003-03-01 03:00:00', '2003-03-01 03:15:00',
               '2003-03-01 03:30:00', '2003-03-01 03:45:00',
               '2003-03-01 04:00:00', '2003-03-01 04:15:00',
               '2003-03-01 04:30:00', '2003-03-01 04:45:00',
               '2003-03-01 05:00:00', '2003-03-01 05:15:00',
               '2003-03-01 05:30:00', '2003-03-01 05:45:00',
               '2003-03-01 06:00:00', '2003-03-01 06:15:00',
               '2003-03-01 06:30:00', '2003-03-01 06:45:00',
               '2003-03-01 07:00:00', '2003-03-01 07:15:00',
               '2003-03-01 07:30:00', '2003-03-01 07:45:00',
               '2003-03-01 08:00:00', '2003-03-01 08:15:00',
               '2003-03-01 08:30:00', '2003-03-01 08:45:00',
               '2003-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-03-01 00:00:00', '2003-03-01 00:15:00',
               '2003-03-01 00:30:00', '2003-03-01 00:45:00',
               '2003-03-01 01:00:00', '2003-03-01 01:15:00',
               '2003-03-01 01:30:00', '2003-03-01 01:45:00',
               '2003-03-01 02:00:00', '2003-03-01 02:15:00',
               '2003-03-01 02:30:00', '2003-03-01 02:45:00',
               '2003-03-01 03:00:00', '2003-03-01 03:15:00',
               '2003-03-01 03:30:00', '2003-03-01 03:45:00',
               '2003-03-01 04:00:00', '2003-03-01 04:15:00',
               '2003-03-01 04:30:00', '2003-03-01 04:45:00',
               '2003-03-01 05:00:00', '2003-03-01 05:15:00',
               '2003-03-01 05:30:00', '2003-03-01 05:45:00',
               '2003-03-01 06:00:00', '2003-03-01 06:15:00',
               '2003-03-01 06:30:00', '2003-03-01 06:45:00',
               '2003-03-01 07:00:00', '2003-03-01 07:15:00',
               '2003-03-01 07:30:00', '2003-03-01 07:45:00',
               '2003-03-01 08:00:00', '2003-03-01 08:15:00',
               '2003-03-01 08:30:00', '2003-03-01 08:45:00',
               '2003-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-03-06 09:00:00', '2003-03-06 09:15:00',
               '2003-03-06 09:30:00', '2003-03-06 09:45:00',
               '2003-03-06 10:00:00', '2003-03-06 10:15:00',
               '2003-03-06 10:30:00', '2003-03-06 10:45:00',
               '2003-03-06 11:00:00', '2003-03-06 11:15:00',
               ...
               '2003-03-31 20:45:00', '2003-03-31 21:00:00',
               '2003-03-31 21:15:00', '2003-03-31 21:30:00',
               '2003-03-31 21:45:00', '2003-03-31 22:00:00',
               '2003-03-31 22:15:00', '2003-03-31 22:30:00',
               '2003-03-31 22:45:00', '2003-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2457, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-03-01 00:00:00', '2003-03-01 00:15:00',
               '2003-03-01 00:30:00', '2003-03-01 00:45:00',
               '2003-03-01 01:00:00', '2003-03-01 01:15:00',
               '2003-03-01 01:30:00', '2003-03-01 01:45:00',
               '2003-03-01 02:00:00', '2003-03-01 02:15:00',
               '2003-03-01 02:30:00', '2003-03-01 02:45:00',
               '2003-03-01 03:00:00', '2003-03-01 03:15:00',
               '2003-03-01 03:30:00', '2003-03-01 03:45:00',
               '2003-03-01 04:00:00', '2003-03-01 04:15:00',
               '2003-03-01 04:30:00', '2003-03-01 04:45:00',
               '2003-03-01 05:00:00', '2003-03-01 05:15:00',
               '2003-03-01 05:30:00', '2003-03-01 05:45:00',
               '2003-03-01 06:00:00', '2003-03-01 06:15:00',
               '2003-03-01 06:30:00', '2003-03-01 06:45:00',
               '2003-03-01 07:00:00', '2003-03-01 07:15:00',
               '2003-03-01 07:30:00', '2003-03-01 07:45:00',
               '2003-03-01 08:00:00', '2003-03-01 08:15:00',
               '2003-03-01 08:30:00', '2003-03-01 08:45:00',
               '2003-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-03-01 00:00:00', '2003-03-01 00:15:00',
               '2003-03-01 00:30:00', '2003-03-01 00:45:00',
               '2003-03-01 01:00:00', '2003-03-01 01:15:00',
               '2003-03-01 01:30:00', '2003-03-01 01:45:00',
               '2003-03-01 02:00:00', '2003-03-01 02:15:00',
               ...
               '2003-03-31 06:45:00', '2003-03-31 07:00:00',
               '2003-03-31 07:15:00', '2003-03-31 07:30:00',
               '2003-03-31 07:45:00', '2003-03-31 08:00:00',
               '2003-03-31 08:15:00', '2003-03-31 08:30:00',
               '2003-03-31 08:45:00', '2003-03-31 09:00:00'],
              dtype='datetime64[ns]', length=1099, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-03-08 09:00:00', '2003-03-08 09:15:00',
               '2003-03-08 09:30:00', '2003-03-08 09:45:00',
               '2003-03-08 10:00:00', '2003-03-08 10:15:00',
               '2003-03-08 10:30:00', '2003-03-08 10:45:00',
               '2003-03-08 11:00:00', '2003-03-08 11:15:00',
               ...
               '2003-03-25 06:30:00', '2003-03-25 06:45:00',
               '2003-03-25 07:00:00', '2003-03-25 07:15:00',
               '2003-03-25 07:30:00', '2003-03-25 07:45:00',
               '2003-03-25 08:00:00', '2003-03-25 08:15:00',
               '2003-03-25 08:30:00', '2003-03-25 08:45:00'],
              dtype='datetime64[ns]', length=1632, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-03-01 00:00:00', '2003-03-01 00:15:00',
               '2003-03-01 00:30:00', '2003-03-01 00:45:00',
               '2003-03-01 01:00:00', '2003-03-01 01:15:00',
               '2003-03-01 01:30:00', '2003-03-01 01:45:00',
               '2003-03-01 02:00:00', '2003-03-01 02:15:00',
               '2003-03-01 02:30:00', '2003-03-01 02:45:00',
               '2003-03-01 03:00:00', '2003-03-01 03:15:00',
               '2003-03-01 03:30:00', '2003-03-01 03:45:00',
               '2003-03-01 04:00:00', '2003-03-01 04:15:00',
               '2003-03-01 04:30:00', '2003-03-01 04:45:00',
               '2003-03-01 05:00:00', '2003-03-01 05:15:00',
               '2003-03-01 05:30:00', '2003-03-01 05:45:00',
               '2003-03-01 06:00:00', '2003-03-01 06:15:00',
               '2003-03-01 06:30:00', '2003-03-01 06:45:00',
               '2003-03-01 07:00:00', '2003-03-01 07:15:00',
               '2003-03-01 07:30:00', '2003-03-01 07:45:00',
               '2003-03-01 08:00:00', '2003-03-01 08:15:00',
               '2003-03-01 08:30:00', '2003-03-01 08:45:00',
               '2003-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-3-1T00 to 2003-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-3-1T00 to 2003-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               ...
               '2003-04-24 05:30:00', '2003-04-24 05:45:00',
               '2003-04-24 06:00:00', '2003-04-24 06:15:00',
               '2003-04-24 06:30:00', '2003-04-24 06:45:00',
               '2003-04-24 07:00:00', '2003-04-24 07:15:00',
               '2003-04-24 07:30:00', '2003-04-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               ...
               '2003-04-20 05:45:00', '2003-04-20 06:00:00',
               '2003-04-20 06:15:00', '2003-04-20 06:30:00',
               '2003-04-20 06:45:00', '2003-04-20 07:00:00',
               '2003-04-20 07:15:00', '2003-04-20 07:30:00',
               '2003-04-20 07:45:00', '2003-04-20 08:00:00'],
              dtype='datetime64[ns]', length=809, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               '2003-04-01 02:30:00', '2003-04-01 02:45:00',
               '2003-04-01 03:00:00', '2003-04-01 03:15:00',
               '2003-04-01 03:30:00', '2003-04-01 03:45:00',
               '2003-04-01 04:00:00', '2003-04-01 04:15:00',
               '2003-04-01 04:30:00', '2003-04-01 04:45:00',
               '2003-04-01 05:00:00', '2003-04-01 05:15:00',
               '2003-04-01 05:30:00', '2003-04-01 05:45:00',
               '2003-04-01 06:00:00', '2003-04-01 06:15:00',
               '2003-04-01 06:30:00', '2003-04-01 06:45:00',
               '2003-04-01 07:00:00', '2003-04-01 07:15:00',
               '2003-04-01 07:30:00', '2003-04-01 07:45:00',
               '2003-04-01 08:00:00', '2003-04-01 08:15:00',
               '2003-04-01 08:30:00', '2003-04-01 08:45:00',
               '2003-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               ...
               '2003-04-12 05:30:00', '2003-04-12 05:45:00',
               '2003-04-12 06:00:00', '2003-04-12 06:15:00',
               '2003-04-12 06:30:00', '2003-04-12 06:45:00',
               '2003-04-12 07:00:00', '2003-04-12 07:15:00',
               '2003-04-12 07:30:00', '2003-04-12 07:45:00'],
              dtype='datetime64[ns]', length=1088, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               '2003-04-01 02:30:00', '2003-04-01 02:45:00',
               '2003-04-01 03:00:00', '2003-04-01 03:15:00',
               '2003-04-01 03:30:00', '2003-04-01 03:45:00',
               '2003-04-01 04:00:00', '2003-04-01 04:15:00',
               '2003-04-01 04:30:00', '2003-04-01 04:45:00',
               '2003-04-01 05:00:00', '2003-04-01 05:15:00',
               '2003-04-01 05:30:00', '2003-04-01 05:45:00',
               '2003-04-01 06:00:00', '2003-04-01 06:15:00',
               '2003-04-01 06:30:00', '2003-04-01 06:45:00',
               '2003-04-01 07:00:00', '2003-04-01 07:15:00',
               '2003-04-01 07:30:00', '2003-04-01 07:45:00',
               '2003-04-01 08:00:00', '2003-04-01 08:15:00',
               '2003-04-01 08:30:00', '2003-04-01 08:45:00',
               '2003-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               ...
               '2003-04-21 05:45:00', '2003-04-21 06:00:00',
               '2003-04-21 06:15:00', '2003-04-21 06:30:00',
               '2003-04-21 06:45:00', '2003-04-21 07:00:00',
               '2003-04-21 07:15:00', '2003-04-21 07:30:00',
               '2003-04-21 07:45:00', '2003-04-21 08:00:00'],
              dtype='datetime64[ns]', length=615, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-04-02 09:00:00', '2003-04-02 09:15:00',
               '2003-04-02 09:30:00', '2003-04-02 09:45:00',
               '2003-04-02 10:00:00', '2003-04-02 10:15:00',
               '2003-04-02 10:30:00', '2003-04-02 10:45:00',
               '2003-04-02 11:00:00', '2003-04-02 11:15:00',
               ...
               '2003-04-24 05:30:00', '2003-04-24 05:45:00',
               '2003-04-24 06:00:00', '2003-04-24 06:15:00',
               '2003-04-24 06:30:00', '2003-04-24 06:45:00',
               '2003-04-24 07:00:00', '2003-04-24 07:15:00',
               '2003-04-24 07:30:00', '2003-04-24 07:45:00'],
              dtype='datetime64[ns]', length=2108, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               '2003-04-01 02:30:00', '2003-04-01 02:45:00',
               '2003-04-01 03:00:00', '2003-04-01 03:15:00',
               '2003-04-01 03:30:00', '2003-04-01 03:45:00',
               '2003-04-01 04:00:00', '2003-04-01 04:15:00',
               '2003-04-01 04:30:00', '2003-04-01 04:45:00',
               '2003-04-01 05:00:00', '2003-04-01 05:15:00',
               '2003-04-01 05:30:00', '2003-04-01 05:45:00',
               '2003-04-01 06:00:00', '2003-04-01 06:15:00',
               '2003-04-01 06:30:00', '2003-04-01 06:45:00',
               '2003-04-01 07:00:00', '2003-04-01 07:15:00',
               '2003-04-01 07:30:00', '2003-04-01 07:45:00',
               '2003-04-01 08:00:00', '2003-04-01 08:15:00',
               '2003-04-01 08:30:00', '2003-04-01 08:45:00',
               '2003-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-04-01 00:00:00', '2003-04-01 00:15:00',
               '2003-04-01 00:30:00', '2003-04-01 00:45:00',
               '2003-04-01 01:00:00', '2003-04-01 01:15:00',
               '2003-04-01 01:30:00', '2003-04-01 01:45:00',
               '2003-04-01 02:00:00', '2003-04-01 02:15:00',
               '2003-04-01 02:30:00', '2003-04-01 02:45:00',
               '2003-04-01 03:00:00', '2003-04-01 03:15:00',
               '2003-04-01 03:30:00', '2003-04-01 03:45:00',
               '2003-04-01 04:00:00', '2003-04-01 04:15:00',
               '2003-04-01 04:30:00', '2003-04-01 04:45:00',
               '2003-04-01 05:00:00', '2003-04-01 05:15:00',
               '2003-04-01 05:30:00', '2003-04-01 05:45:00',
               '2003-04-01 06:00:00', '2003-04-01 06:15:00',
               '2003-04-01 06:30:00', '2003-04-01 06:45:00',
               '2003-04-01 07:00:00', '2003-04-01 07:15:00',
               '2003-04-01 07:30:00', '2003-04-01 07:45:00',
               '2003-04-01 08:00:00', '2003-04-01 08:15:00',
               '2003-04-01 08:30:00', '2003-04-01 08:45:00',
               '2003-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-4-1T00 to 2003-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-4-1T00 to 2003-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               '2003-05-01 02:30:00', '2003-05-01 02:45:00',
               '2003-05-01 03:00:00', '2003-05-01 03:15:00',
               '2003-05-01 03:30:00', '2003-05-01 03:45:00',
               '2003-05-01 04:00:00', '2003-05-01 04:15:00',
               '2003-05-01 04:30:00', '2003-05-01 04:45:00',
               '2003-05-01 05:00:00', '2003-05-01 05:15:00',
               '2003-05-01 05:30:00', '2003-05-01 05:45:00',
               '2003-05-01 06:00:00', '2003-05-01 06:15:00',
               '2003-05-01 06:30:00', '2003-05-01 06:45:00',
               '2003-05-01 07:00:00', '2003-05-01 07:15:00',
               '2003-05-01 07:30:00', '2003-05-01 07:45:00',
               '2003-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               '2003-05-01 02:30:00', '2003-05-01 02:45:00',
               '2003-05-01 03:00:00', '2003-05-01 03:15:00',
               '2003-05-01 03:30:00', '2003-05-01 03:45:00',
               '2003-05-01 04:00:00', '2003-05-01 04:15:00',
               '2003-05-01 04:30:00', '2003-05-01 04:45:00',
               '2003-05-01 05:00:00', '2003-05-01 05:15:00',
               '2003-05-01 05:30:00', '2003-05-01 05:45:00',
               '2003-05-01 06:00:00', '2003-05-01 06:15:00',
               '2003-05-01 06:30:00', '2003-05-01 06:45:00',
               '2003-05-01 07:00:00', '2003-05-01 07:15:00',
               '2003-05-01 07:30:00', '2003-05-01 07:45:00',
               '2003-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               '2003-05-01 02:30:00', '2003-05-01 02:45:00',
               '2003-05-01 03:00:00', '2003-05-01 03:15:00',
               '2003-05-01 03:30:00', '2003-05-01 03:45:00',
               '2003-05-01 04:00:00', '2003-05-01 04:15:00',
               '2003-05-01 04:30:00', '2003-05-01 04:45:00',
               '2003-05-01 05:00:00', '2003-05-01 05:15:00',
               '2003-05-01 05:30:00', '2003-05-01 05:45:00',
               '2003-05-01 06:00:00', '2003-05-01 06:15:00',
               '2003-05-01 06:30:00', '2003-05-01 06:45:00',
               '2003-05-01 07:00:00', '2003-05-01 07:15:00',
               '2003-05-01 07:30:00', '2003-05-01 07:45:00',
               '2003-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               '2003-05-01 02:30:00', '2003-05-01 02:45:00',
               '2003-05-01 03:00:00', '2003-05-01 03:15:00',
               '2003-05-01 03:30:00', '2003-05-01 03:45:00',
               '2003-05-01 04:00:00', '2003-05-01 04:15:00',
               '2003-05-01 04:30:00', '2003-05-01 04:45:00',
               '2003-05-01 05:00:00', '2003-05-01 05:15:00',
               '2003-05-01 05:30:00', '2003-05-01 05:45:00',
               '2003-05-01 06:00:00', '2003-05-01 06:15:00',
               '2003-05-01 06:30:00', '2003-05-01 06:45:00',
               '2003-05-01 07:00:00', '2003-05-01 07:15:00',
               '2003-05-01 07:30:00', '2003-05-01 07:45:00',
               '2003-05-01 08:00:00', '2003-05-13 19:45:00',
               '2003-05-13 20:00:00', '2003-05-13 20:15:00',
               '2003-05-13 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               '2003-05-01 02:30:00', '2003-05-01 02:45:00',
               '2003-05-01 03:00:00', '2003-05-01 03:15:00',
               '2003-05-01 03:30:00', '2003-05-01 03:45:00',
               '2003-05-01 04:00:00', '2003-05-01 04:15:00',
               '2003-05-01 04:30:00', '2003-05-01 04:45:00',
               '2003-05-01 05:00:00', '2003-05-01 05:15:00',
               '2003-05-01 05:30:00', '2003-05-01 05:45:00',
               '2003-05-01 06:00:00', '2003-05-01 06:15:00',
               '2003-05-01 06:30:00', '2003-05-01 06:45:00',
               '2003-05-01 07:00:00', '2003-05-01 07:15:00',
               '2003-05-01 07:30:00', '2003-05-01 07:45:00',
               '2003-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               ...
               '2003-05-18 05:45:00', '2003-05-18 06:00:00',
               '2003-05-18 06:15:00', '2003-05-18 06:30:00',
               '2003-05-18 06:45:00', '2003-05-18 07:00:00',
               '2003-05-18 07:15:00', '2003-05-18 07:30:00',
               '2003-05-18 07:45:00', '2003-05-18 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               '2003-05-01 02:30:00', '2003-05-01 02:45:00',
               '2003-05-01 03:00:00', '2003-05-01 03:15:00',
               '2003-05-01 03:30:00', '2003-05-01 03:45:00',
               '2003-05-01 04:00:00', '2003-05-01 04:15:00',
               '2003-05-01 04:30:00', '2003-05-01 04:45:00',
               '2003-05-01 05:00:00', '2003-05-01 05:15:00',
               '2003-05-01 05:30:00', '2003-05-01 05:45:00',
               '2003-05-01 06:00:00', '2003-05-01 06:15:00',
               '2003-05-01 06:30:00', '2003-05-01 06:45:00',
               '2003-05-01 07:00:00', '2003-05-01 07:15:00',
               '2003-05-01 07:30:00', '2003-05-01 07:45:00',
               '2003-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               '2003-05-01 02:30:00', '2003-05-01 02:45:00',
               '2003-05-01 03:00:00', '2003-05-01 03:15:00',
               '2003-05-01 03:30:00', '2003-05-01 03:45:00',
               '2003-05-01 04:00:00', '2003-05-01 04:15:00',
               '2003-05-01 04:30:00', '2003-05-01 04:45:00',
               '2003-05-01 05:00:00', '2003-05-01 05:15:00',
               '2003-05-01 05:30:00', '2003-05-01 05:45:00',
               '2003-05-01 06:00:00', '2003-05-01 06:15:00',
               '2003-05-01 06:30:00', '2003-05-01 06:45:00',
               '2003-05-01 07:00:00', '2003-05-01 07:15:00',
               '2003-05-01 07:30:00', '2003-05-01 07:45:00',
               '2003-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-05-01 00:00:00', '2003-05-01 00:15:00',
               '2003-05-01 00:30:00', '2003-05-01 00:45:00',
               '2003-05-01 01:00:00', '2003-05-01 01:15:00',
               '2003-05-01 01:30:00', '2003-05-01 01:45:00',
               '2003-05-01 02:00:00', '2003-05-01 02:15:00',
               ...
               '2003-05-23 05:30:00', '2003-05-23 05:45:00',
               '2003-05-23 06:00:00', '2003-05-23 06:15:00',
               '2003-05-23 06:30:00', '2003-05-23 06:45:00',
               '2003-05-23 07:00:00', '2003-05-23 07:15:00',
               '2003-05-23 07:30:00', '2003-05-23 07:45:00'],
              dtype='datetime64[ns]', length=2144, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-5-1T00 to 2003-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-5-1T00 to 2003-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               '2003-06-01 02:30:00', '2003-06-01 02:45:00',
               '2003-06-01 03:00:00', '2003-06-01 03:15:00',
               '2003-06-01 03:30:00', '2003-06-01 03:45:00',
               '2003-06-01 04:00:00', '2003-06-01 04:15:00',
               '2003-06-01 04:30:00', '2003-06-01 04:45:00',
               '2003-06-01 05:00:00', '2003-06-01 05:15:00',
               '2003-06-01 05:30:00', '2003-06-01 05:45:00',
               '2003-06-01 06:00:00', '2003-06-01 06:15:00',
               '2003-06-01 06:30:00', '2003-06-01 06:45:00',
               '2003-06-01 07:00:00', '2003-06-01 07:15:00',
               '2003-06-01 07:30:00', '2003-06-01 07:45:00',
               '2003-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               '2003-06-01 02:30:00', '2003-06-01 02:45:00',
               '2003-06-01 03:00:00', '2003-06-01 03:15:00',
               '2003-06-01 03:30:00', '2003-06-01 03:45:00',
               '2003-06-01 04:00:00', '2003-06-01 04:15:00',
               '2003-06-01 04:30:00', '2003-06-01 04:45:00',
               '2003-06-01 05:00:00', '2003-06-01 05:15:00',
               '2003-06-01 05:30:00', '2003-06-01 05:45:00',
               '2003-06-01 06:00:00', '2003-06-01 06:15:00',
               '2003-06-01 06:30:00', '2003-06-01 06:45:00',
               '2003-06-01 07:00:00', '2003-06-01 07:15:00',
               '2003-06-01 07:30:00', '2003-06-01 07:45:00',
               '2003-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               '2003-06-01 02:30:00', '2003-06-01 02:45:00',
               '2003-06-01 03:00:00', '2003-06-01 03:15:00',
               '2003-06-01 03:30:00', '2003-06-01 03:45:00',
               '2003-06-01 04:00:00', '2003-06-01 04:15:00',
               '2003-06-01 04:30:00', '2003-06-01 04:45:00',
               '2003-06-01 05:00:00', '2003-06-01 05:15:00',
               '2003-06-01 05:30:00', '2003-06-01 05:45:00',
               '2003-06-01 06:00:00', '2003-06-01 06:15:00',
               '2003-06-01 06:30:00', '2003-06-01 06:45:00',
               '2003-06-01 07:00:00', '2003-06-01 07:15:00',
               '2003-06-01 07:30:00', '2003-06-01 07:45:00',
               '2003-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               '2003-06-01 02:30:00', '2003-06-01 02:45:00',
               '2003-06-01 03:00:00', '2003-06-01 03:15:00',
               '2003-06-01 03:30:00', '2003-06-01 03:45:00',
               '2003-06-01 04:00:00', '2003-06-01 04:15:00',
               '2003-06-01 04:30:00', '2003-06-01 04:45:00',
               '2003-06-01 05:00:00', '2003-06-01 05:15:00',
               '2003-06-01 05:30:00', '2003-06-01 05:45:00',
               '2003-06-01 06:00:00', '2003-06-01 06:15:00',
               '2003-06-01 06:30:00', '2003-06-01 06:45:00',
               '2003-06-01 07:00:00', '2003-06-01 07:15:00',
               '2003-06-01 07:30:00', '2003-06-01 07:45:00',
               '2003-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               '2003-06-01 02:30:00', '2003-06-01 02:45:00',
               '2003-06-01 03:00:00', '2003-06-01 03:15:00',
               '2003-06-01 03:30:00', '2003-06-01 03:45:00',
               '2003-06-01 04:00:00', '2003-06-01 04:15:00',
               '2003-06-01 04:30:00', '2003-06-01 04:45:00',
               '2003-06-01 05:00:00', '2003-06-01 05:15:00',
               '2003-06-01 05:30:00', '2003-06-01 05:45:00',
               '2003-06-01 06:00:00', '2003-06-01 06:15:00',
               '2003-06-01 06:30:00', '2003-06-01 06:45:00',
               '2003-06-01 07:00:00', '2003-06-01 07:15:00',
               '2003-06-01 07:30:00', '2003-06-01 07:45:00',
               '2003-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               ...
               '2003-06-15 05:45:00', '2003-06-15 06:00:00',
               '2003-06-15 06:15:00', '2003-06-15 06:30:00',
               '2003-06-15 06:45:00', '2003-06-15 07:00:00',
               '2003-06-15 07:15:00', '2003-06-15 07:30:00',
               '2003-06-15 07:45:00', '2003-06-15 08:00:00'],
              dtype='datetime64[ns]', length=229, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               '2003-06-01 02:30:00', '2003-06-01 02:45:00',
               '2003-06-01 03:00:00', '2003-06-01 03:15:00',
               '2003-06-01 03:30:00', '2003-06-01 03:45:00',
               '2003-06-01 04:00:00', '2003-06-01 04:15:00',
               '2003-06-01 04:30:00', '2003-06-01 04:45:00',
               '2003-06-01 05:00:00', '2003-06-01 05:15:00',
               '2003-06-01 05:30:00', '2003-06-01 05:45:00',
               '2003-06-01 06:00:00', '2003-06-01 06:15:00',
               '2003-06-01 06:30:00', '2003-06-01 06:45:00',
               '2003-06-01 07:00:00', '2003-06-01 07:15:00',
               '2003-06-01 07:30:00', '2003-06-01 07:45:00',
               '2003-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               ...
               '2003-06-25 05:45:00', '2003-06-25 06:00:00',
               '2003-06-25 06:15:00', '2003-06-25 06:30:00',
               '2003-06-25 06:45:00', '2003-06-25 07:00:00',
               '2003-06-25 07:15:00', '2003-06-25 07:30:00',
               '2003-06-25 07:45:00', '2003-06-25 08:00:00'],
              dtype='datetime64[ns]', length=805, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-06-01 00:00:00', '2003-06-01 00:15:00',
               '2003-06-01 00:30:00', '2003-06-01 00:45:00',
               '2003-06-01 01:00:00', '2003-06-01 01:15:00',
               '2003-06-01 01:30:00', '2003-06-01 01:45:00',
               '2003-06-01 02:00:00', '2003-06-01 02:15:00',
               '2003-06-01 02:30:00', '2003-06-01 02:45:00',
               '2003-06-01 03:00:00', '2003-06-01 03:15:00',
               '2003-06-01 03:30:00', '2003-06-01 03:45:00',
               '2003-06-01 04:00:00', '2003-06-01 04:15:00',
               '2003-06-01 04:30:00', '2003-06-01 04:45:00',
               '2003-06-01 05:00:00', '2003-06-01 05:15:00',
               '2003-06-01 05:30:00', '2003-06-01 05:45:00',
               '2003-06-01 06:00:00', '2003-06-01 06:15:00',
               '2003-06-01 06:30:00', '2003-06-01 06:45:00',
               '2003-06-01 07:00:00', '2003-06-01 07:15:00',
               '2003-06-01 07:30:00', '2003-06-01 07:45:00',
               '2003-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-6-1T00 to 2003-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-6-1T00 to 2003-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               ...
               '2003-07-11 06:45:00', '2003-07-11 07:00:00',
               '2003-07-11 07:15:00', '2003-07-11 07:30:00',
               '2003-07-11 07:45:00', '2003-07-11 08:00:00',
               '2003-07-11 19:30:00', '2003-07-11 19:45:00',
               '2003-07-11 20:00:00', '2003-07-11 20:15:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-07-01 00:00:00', '2003-07-01 00:15:00',
               '2003-07-01 00:30:00', '2003-07-01 00:45:00',
               '2003-07-01 01:00:00', '2003-07-01 01:15:00',
               '2003-07-01 01:30:00', '2003-07-01 01:45:00',
               '2003-07-01 02:00:00', '2003-07-01 02:15:00',
               '2003-07-01 02:30:00', '2003-07-01 02:45:00',
               '2003-07-01 03:00:00', '2003-07-01 03:15:00',
               '2003-07-01 03:30:00', '2003-07-01 03:45:00',
               '2003-07-01 04:00:00', '2003-07-01 04:15:00',
               '2003-07-01 04:30:00', '2003-07-01 04:45:00',
               '2003-07-01 05:00:00', '2003-07-01 05:15:00',
               '2003-07-01 05:30:00', '2003-07-01 05:45:00',
               '2003-07-01 06:00:00', '2003-07-01 06:15:00',
               '2003-07-01 06:30:00', '2003-07-01 06:45:00',
               '2003-07-01 07:00:00', '2003-07-01 07:15:00',
               '2003-07-01 07:30:00', '2003-07-01 07:45:00',
               '2003-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-7-1T00 to 2003-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-7-1T00 to 2003-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-08-01 00:00:00', '2003-08-01 00:15:00',
               '2003-08-01 00:30:00', '2003-08-01 00:45:00',
               '2003-08-01 01:00:00', '2003-08-01 01:15:00',
               '2003-08-01 01:30:00', '2003-08-01 01:45:00',
               '2003-08-01 02:00:00', '2003-08-01 02:15:00',
               '2003-08-01 02:30:00', '2003-08-01 02:45:00',
               '2003-08-01 03:00:00', '2003-08-01 03:15:00',
               '2003-08-01 03:30:00', '2003-08-01 03:45:00',
               '2003-08-01 04:00:00', '2003-08-01 04:15:00',
               '2003-08-01 04:30:00', '2003-08-01 04:45:00',
               '2003-08-01 05:00:00', '2003-08-01 05:15:00',
               '2003-08-01 05:30:00', '2003-08-01 05:45:00',
               '2003-08-01 06:00:00', '2003-08-01 06:15:00',
               '2003-08-01 06:30:00', '2003-08-01 06:45:00',
               '2003-08-01 07:00:00', '2003-08-01 07:15:00',
               '2003-08-01 07:30:00', '2003-08-01 07:45:00',
               '2003-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-8-1T00 to 2003-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-8-1T00 to 2003-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               '2003-09-01 02:30:00', '2003-09-01 02:45:00',
               '2003-09-01 03:00:00', '2003-09-01 03:15:00',
               '2003-09-01 03:30:00', '2003-09-01 03:45:00',
               '2003-09-01 04:00:00', '2003-09-01 04:15:00',
               '2003-09-01 04:30:00', '2003-09-01 04:45:00',
               '2003-09-01 05:00:00', '2003-09-01 05:15:00',
               '2003-09-01 05:30:00', '2003-09-01 05:45:00',
               '2003-09-01 06:00:00', '2003-09-01 06:15:00',
               '2003-09-01 06:30:00', '2003-09-01 06:45:00',
               '2003-09-01 07:00:00', '2003-09-01 07:15:00',
               '2003-09-01 07:30:00', '2003-09-01 07:45:00',
               '2003-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               '2003-09-01 02:30:00', '2003-09-01 02:45:00',
               '2003-09-01 03:00:00', '2003-09-01 03:15:00',
               '2003-09-01 03:30:00', '2003-09-01 03:45:00',
               '2003-09-01 04:00:00', '2003-09-01 04:15:00',
               '2003-09-01 04:30:00', '2003-09-01 04:45:00',
               '2003-09-01 05:00:00', '2003-09-01 05:15:00',
               '2003-09-01 05:30:00', '2003-09-01 05:45:00',
               '2003-09-01 06:00:00', '2003-09-01 06:15:00',
               '2003-09-01 06:30:00', '2003-09-01 06:45:00',
               '2003-09-01 07:00:00', '2003-09-01 07:15:00',
               '2003-09-01 07:30:00', '2003-09-01 07:45:00',
               '2003-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               '2003-09-01 02:30:00', '2003-09-01 02:45:00',
               '2003-09-01 03:00:00', '2003-09-01 03:15:00',
               '2003-09-01 03:30:00', '2003-09-01 03:45:00',
               '2003-09-01 04:00:00', '2003-09-01 04:15:00',
               '2003-09-01 04:30:00', '2003-09-01 04:45:00',
               '2003-09-01 05:00:00', '2003-09-01 05:15:00',
               '2003-09-01 05:30:00', '2003-09-01 05:45:00',
               '2003-09-01 06:00:00', '2003-09-01 06:15:00',
               '2003-09-01 06:30:00', '2003-09-01 06:45:00',
               '2003-09-01 07:00:00', '2003-09-01 07:15:00',
               '2003-09-01 07:30:00', '2003-09-01 07:45:00',
               '2003-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               ...
               '2003-09-28 05:45:00', '2003-09-28 06:00:00',
               '2003-09-28 06:15:00', '2003-09-28 06:30:00',
               '2003-09-28 06:45:00', '2003-09-28 07:00:00',
               '2003-09-28 07:15:00', '2003-09-28 07:30:00',
               '2003-09-28 07:45:00', '2003-09-28 08:00:00'],
              dtype='datetime64[ns]', length=517, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               '2003-09-01 02:30:00', '2003-09-01 02:45:00',
               '2003-09-01 03:00:00', '2003-09-01 03:15:00',
               '2003-09-01 03:30:00', '2003-09-01 03:45:00',
               '2003-09-01 04:00:00', '2003-09-01 04:15:00',
               '2003-09-01 04:30:00', '2003-09-01 04:45:00',
               '2003-09-01 05:00:00', '2003-09-01 05:15:00',
               '2003-09-01 05:30:00', '2003-09-01 05:45:00',
               '2003-09-01 06:00:00', '2003-09-01 06:15:00',
               '2003-09-01 06:30:00', '2003-09-01 06:45:00',
               '2003-09-01 07:00:00', '2003-09-01 07:15:00',
               '2003-09-01 07:30:00', '2003-09-01 07:45:00',
               '2003-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               ...
               '2003-09-29 05:45:00', '2003-09-29 06:00:00',
               '2003-09-29 06:15:00', '2003-09-29 06:30:00',
               '2003-09-29 06:45:00', '2003-09-29 07:00:00',
               '2003-09-29 07:15:00', '2003-09-29 07:30:00',
               '2003-09-29 07:45:00', '2003-09-29 08:00:00'],
              dtype='datetime64[ns]', length=326, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               '2003-09-01 02:30:00', '2003-09-01 02:45:00',
               '2003-09-01 03:00:00', '2003-09-01 03:15:00',
               '2003-09-01 03:30:00', '2003-09-01 03:45:00',
               '2003-09-01 04:00:00', '2003-09-01 04:15:00',
               '2003-09-01 04:30:00', '2003-09-01 04:45:00',
               '2003-09-01 05:00:00', '2003-09-01 05:15:00',
               '2003-09-01 05:30:00', '2003-09-01 05:45:00',
               '2003-09-01 06:00:00', '2003-09-01 06:15:00',
               '2003-09-01 06:30:00', '2003-09-01 06:45:00',
               '2003-09-01 07:00:00', '2003-09-01 07:15:00',
               '2003-09-01 07:30:00', '2003-09-01 07:45:00',
               '2003-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               '2003-09-01 02:30:00', '2003-09-01 02:45:00',
               '2003-09-01 03:00:00', '2003-09-01 03:15:00',
               '2003-09-01 03:30:00', '2003-09-01 03:45:00',
               '2003-09-01 04:00:00', '2003-09-01 04:15:00',
               '2003-09-01 04:30:00', '2003-09-01 04:45:00',
               '2003-09-01 05:00:00', '2003-09-01 05:15:00',
               '2003-09-01 05:30:00', '2003-09-01 05:45:00',
               '2003-09-01 06:00:00', '2003-09-01 06:15:00',
               '2003-09-01 06:30:00', '2003-09-01 06:45:00',
               '2003-09-01 07:00:00', '2003-09-01 07:15:00',
               '2003-09-01 07:30:00', '2003-09-01 07:45:00',
               '2003-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-09-01 00:00:00', '2003-09-01 00:15:00',
               '2003-09-01 00:30:00', '2003-09-01 00:45:00',
               '2003-09-01 01:00:00', '2003-09-01 01:15:00',
               '2003-09-01 01:30:00', '2003-09-01 01:45:00',
               '2003-09-01 02:00:00', '2003-09-01 02:15:00',
               '2003-09-01 02:30:00', '2003-09-01 02:45:00',
               '2003-09-01 03:00:00', '2003-09-01 03:15:00',
               '2003-09-01 03:30:00', '2003-09-01 03:45:00',
               '2003-09-01 04:00:00', '2003-09-01 04:15:00',
               '2003-09-01 04:30:00', '2003-09-01 04:45:00',
               '2003-09-01 05:00:00', '2003-09-01 05:15:00',
               '2003-09-01 05:30:00', '2003-09-01 05:45:00',
               '2003-09-01 06:00:00', '2003-09-01 06:15:00',
               '2003-09-01 06:30:00', '2003-09-01 06:45:00',
               '2003-09-01 07:00:00', '2003-09-01 07:15:00',
               '2003-09-01 07:30:00', '2003-09-01 07:45:00',
               '2003-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-9-1T00 to 2003-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-9-1T00 to 2003-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-10-05 08:00:00', '2003-10-05 08:15:00',
               '2003-10-05 08:30:00', '2003-10-05 08:45:00',
               '2003-10-05 09:00:00', '2003-10-05 09:15:00',
               '2003-10-05 09:30:00', '2003-10-05 09:45:00',
               '2003-10-05 10:00:00', '2003-10-05 10:15:00',
               ...
               '2003-10-31 20:45:00', '2003-10-31 21:00:00',
               '2003-10-31 21:15:00', '2003-10-31 21:30:00',
               '2003-10-31 21:45:00', '2003-10-31 22:00:00',
               '2003-10-31 22:15:00', '2003-10-31 22:30:00',
               '2003-10-31 22:45:00', '2003-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2557, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               '2003-10-01 02:30:00', '2003-10-01 02:45:00',
               '2003-10-01 03:00:00', '2003-10-01 03:15:00',
               '2003-10-01 03:30:00', '2003-10-01 03:45:00',
               '2003-10-01 04:00:00', '2003-10-01 04:15:00',
               '2003-10-01 04:30:00', '2003-10-01 04:45:00',
               '2003-10-01 05:00:00', '2003-10-01 05:15:00',
               '2003-10-01 05:30:00', '2003-10-01 05:45:00',
               '2003-10-01 06:00:00', '2003-10-01 06:15:00',
               '2003-10-01 06:30:00', '2003-10-01 06:45:00',
               '2003-10-01 07:00:00', '2003-10-01 07:15:00',
               '2003-10-01 07:30:00', '2003-10-01 07:45:00',
               '2003-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               '2003-10-01 02:30:00', '2003-10-01 02:45:00',
               '2003-10-01 03:00:00', '2003-10-01 03:15:00',
               '2003-10-01 03:30:00', '2003-10-01 03:45:00',
               '2003-10-01 04:00:00', '2003-10-01 04:15:00',
               '2003-10-01 04:30:00', '2003-10-01 04:45:00',
               '2003-10-01 05:00:00', '2003-10-01 05:15:00',
               '2003-10-01 05:30:00', '2003-10-01 05:45:00',
               '2003-10-01 06:00:00', '2003-10-01 06:15:00',
               '2003-10-01 06:30:00', '2003-10-01 06:45:00',
               '2003-10-01 07:00:00', '2003-10-01 07:15:00',
               '2003-10-01 07:30:00', '2003-10-01 07:45:00',
               '2003-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-10-23 08:00:00', '2003-10-23 08:15:00',
               '2003-10-23 08:30:00', '2003-10-23 08:45:00',
               '2003-10-23 09:00:00', '2003-10-23 09:15:00',
               '2003-10-23 09:30:00', '2003-10-23 09:45:00',
               '2003-10-23 10:00:00', '2003-10-23 10:15:00',
               ...
               '2003-10-31 20:45:00', '2003-10-31 21:00:00',
               '2003-10-31 21:15:00', '2003-10-31 21:30:00',
               '2003-10-31 21:45:00', '2003-10-31 22:00:00',
               '2003-10-31 22:15:00', '2003-10-31 22:30:00',
               '2003-10-31 22:45:00', '2003-10-31 23:00:00'],
              dtype='datetime64[ns]', length=829, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               '2003-10-01 02:30:00', '2003-10-01 02:45:00',
               '2003-10-01 03:00:00', '2003-10-01 03:15:00',
               '2003-10-01 03:30:00', '2003-10-01 03:45:00',
               '2003-10-01 04:00:00', '2003-10-01 04:15:00',
               '2003-10-01 04:30:00', '2003-10-01 04:45:00',
               '2003-10-01 05:00:00', '2003-10-01 05:15:00',
               '2003-10-01 05:30:00', '2003-10-01 05:45:00',
               '2003-10-01 06:00:00', '2003-10-01 06:15:00',
               '2003-10-01 06:30:00', '2003-10-01 06:45:00',
               '2003-10-01 07:00:00', '2003-10-01 07:15:00',
               '2003-10-01 07:30:00', '2003-10-01 07:45:00',
               '2003-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               ...
               '2003-10-30 06:45:00', '2003-10-30 07:00:00',
               '2003-10-30 07:15:00', '2003-10-30 07:30:00',
               '2003-10-30 07:45:00', '2003-10-30 08:00:00',
               '2003-10-30 08:15:00', '2003-10-30 08:30:00',
               '2003-10-30 08:45:00', '2003-10-30 09:00:00'],
              dtype='datetime64[ns]', length=1011, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               '2003-10-01 02:30:00', '2003-10-01 02:45:00',
               '2003-10-01 03:00:00', '2003-10-01 03:15:00',
               '2003-10-01 03:30:00', '2003-10-01 03:45:00',
               '2003-10-01 04:00:00', '2003-10-01 04:15:00',
               '2003-10-01 04:30:00', '2003-10-01 04:45:00',
               '2003-10-01 05:00:00', '2003-10-01 05:15:00',
               '2003-10-01 05:30:00', '2003-10-01 05:45:00',
               '2003-10-01 06:00:00', '2003-10-01 06:15:00',
               '2003-10-01 06:30:00', '2003-10-01 06:45:00',
               '2003-10-01 07:00:00', '2003-10-01 07:15:00',
               '2003-10-01 07:30:00', '2003-10-01 07:45:00',
               '2003-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               ...
               '2003-10-28 06:45:00', '2003-10-28 07:00:00',
               '2003-10-28 07:15:00', '2003-10-28 07:30:00',
               '2003-10-28 07:45:00', '2003-10-28 08:00:00',
               '2003-10-28 08:15:00', '2003-10-28 08:30:00',
               '2003-10-28 08:45:00', '2003-10-28 09:00:00'],
              dtype='datetime64[ns]', length=423, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               '2003-10-01 02:30:00', '2003-10-01 02:45:00',
               '2003-10-01 03:00:00', '2003-10-01 03:15:00',
               '2003-10-01 03:30:00', '2003-10-01 03:45:00',
               '2003-10-01 04:00:00', '2003-10-01 04:15:00',
               '2003-10-01 04:30:00', '2003-10-01 04:45:00',
               '2003-10-01 05:00:00', '2003-10-01 05:15:00',
               '2003-10-01 05:30:00', '2003-10-01 05:45:00',
               '2003-10-01 06:00:00', '2003-10-01 06:15:00',
               '2003-10-01 06:30:00', '2003-10-01 06:45:00',
               '2003-10-01 07:00:00', '2003-10-01 07:15:00',
               '2003-10-01 07:30:00', '2003-10-01 07:45:00',
               '2003-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               '2003-10-01 02:30:00', '2003-10-01 02:45:00',
               '2003-10-01 03:00:00', '2003-10-01 03:15:00',
               '2003-10-01 03:30:00', '2003-10-01 03:45:00',
               '2003-10-01 04:00:00', '2003-10-01 04:15:00',
               '2003-10-01 04:30:00', '2003-10-01 04:45:00',
               '2003-10-01 05:00:00', '2003-10-01 05:15:00',
               '2003-10-01 05:30:00', '2003-10-01 05:45:00',
               '2003-10-01 06:00:00', '2003-10-01 06:15:00',
               '2003-10-01 06:30:00', '2003-10-01 06:45:00',
               '2003-10-01 07:00:00', '2003-10-01 07:15:00',
               '2003-10-01 07:30:00', '2003-10-01 07:45:00',
               '2003-10-01 08:00:00', '2003-10-04 10:45:00',
               '2003-10-04 11:00:00', '2003-10-04 11:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-10-20 08:00:00', '2003-10-20 08:15:00',
               '2003-10-20 08:30:00', '2003-10-20 08:45:00',
               '2003-10-20 09:00:00', '2003-10-20 09:15:00',
               '2003-10-20 09:30:00', '2003-10-20 09:45:00',
               '2003-10-20 10:00:00', '2003-10-20 10:15:00',
               ...
               '2003-10-31 20:45:00', '2003-10-31 21:00:00',
               '2003-10-31 21:15:00', '2003-10-31 21:30:00',
               '2003-10-31 21:45:00', '2003-10-31 22:00:00',
               '2003-10-31 22:15:00', '2003-10-31 22:30:00',
               '2003-10-31 22:45:00', '2003-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1117, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-10-01 00:00:00', '2003-10-01 00:15:00',
               '2003-10-01 00:30:00', '2003-10-01 00:45:00',
               '2003-10-01 01:00:00', '2003-10-01 01:15:00',
               '2003-10-01 01:30:00', '2003-10-01 01:45:00',
               '2003-10-01 02:00:00', '2003-10-01 02:15:00',
               ...
               '2003-10-19 05:45:00', '2003-10-19 06:00:00',
               '2003-10-19 06:15:00', '2003-10-19 06:30:00',
               '2003-10-19 06:45:00', '2003-10-19 07:00:00',
               '2003-10-19 07:15:00', '2003-10-19 07:30:00',
               '2003-10-19 07:45:00', '2003-10-19 08:00:00'],
              dtype='datetime64[ns]', length=134, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-10-1T00 to 2003-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-10-1T00 to 2003-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-11-14 09:00:00', '2003-11-14 09:15:00',
               '2003-11-14 09:30:00', '2003-11-14 09:45:00',
               '2003-11-14 10:00:00', '2003-11-14 10:15:00',
               '2003-11-14 10:30:00', '2003-11-14 10:45:00',
               '2003-11-14 11:00:00', '2003-11-14 11:15:00',
               ...
               '2003-11-30 20:45:00', '2003-11-30 21:00:00',
               '2003-11-30 21:15:00', '2003-11-30 21:30:00',
               '2003-11-30 21:45:00', '2003-11-30 22:00:00',
               '2003-11-30 22:15:00', '2003-11-30 22:30:00',
               '2003-11-30 22:45:00', '2003-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-11-01 00:00:00', '2003-11-01 00:15:00',
               '2003-11-01 00:30:00', '2003-11-01 00:45:00',
               '2003-11-01 01:00:00', '2003-11-01 01:15:00',
               '2003-11-01 01:30:00', '2003-11-01 01:45:00',
               '2003-11-01 02:00:00', '2003-11-01 02:15:00',
               '2003-11-01 02:30:00', '2003-11-01 02:45:00',
               '2003-11-01 03:00:00', '2003-11-01 03:15:00',
               '2003-11-01 03:30:00', '2003-11-01 03:45:00',
               '2003-11-01 04:00:00', '2003-11-01 04:15:00',
               '2003-11-01 04:30:00', '2003-11-01 04:45:00',
               '2003-11-01 05:00:00', '2003-11-01 05:15:00',
               '2003-11-01 05:30:00', '2003-11-01 05:45:00',
               '2003-11-01 06:00:00', '2003-11-01 06:15:00',
               '2003-11-01 06:30:00', '2003-11-01 06:45:00',
               '2003-11-01 07:00:00', '2003-11-01 07:15:00',
               '2003-11-01 07:30:00', '2003-11-01 07:45:00',
               '2003-11-01 08:00:00', '2003-11-01 08:15:00',
               '2003-11-01 08:30:00', '2003-11-01 08:45:00',
               '2003-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-11-01 00:00:00', '2003-11-01 00:15:00',
               '2003-11-01 00:30:00', '2003-11-01 00:45:00',
               '2003-11-01 01:00:00', '2003-11-01 01:15:00',
               '2003-11-01 01:30:00', '2003-11-01 01:45:00',
               '2003-11-01 02:00:00', '2003-11-01 02:15:00',
               ...
               '2003-11-30 20:45:00', '2003-11-30 21:00:00',
               '2003-11-30 21:15:00', '2003-11-30 21:30:00',
               '2003-11-30 21:45:00', '2003-11-30 22:00:00',
               '2003-11-30 22:15:00', '2003-11-30 22:30:00',
               '2003-11-30 22:45:00', '2003-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2589, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-11-01 00:00:00', '2003-11-01 00:15:00',
               '2003-11-01 00:30:00', '2003-11-01 00:45:00',
               '2003-11-01 01:00:00', '2003-11-01 01:15:00',
               '2003-11-01 01:30:00', '2003-11-01 01:45:00',
               '2003-11-01 02:00:00', '2003-11-01 02:15:00',
               '2003-11-01 02:30:00', '2003-11-01 02:45:00',
               '2003-11-01 03:00:00', '2003-11-01 03:15:00',
               '2003-11-01 03:30:00', '2003-11-01 03:45:00',
               '2003-11-01 04:00:00', '2003-11-01 04:15:00',
               '2003-11-01 04:30:00', '2003-11-01 04:45:00',
               '2003-11-01 05:00:00', '2003-11-01 05:15:00',
               '2003-11-01 05:30:00', '2003-11-01 05:45:00',
               '2003-11-01 06:00:00', '2003-11-01 06:15:00',
               '2003-11-01 06:30:00', '2003-11-01 06:45:00',
               '2003-11-01 07:00:00', '2003-11-01 07:15:00',
               '2003-11-01 07:30:00', '2003-11-01 07:45:00',
               '2003-11-01 08:00:00', '2003-11-01 08:15:00',
               '2003-11-01 08:30:00', '2003-11-01 08:45:00',
               '2003-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-11-14 09:00:00', '2003-11-14 09:15:00',
               '2003-11-14 09:30:00', '2003-11-14 09:45:00',
               '2003-11-14 10:00:00', '2003-11-14 10:15:00',
               '2003-11-14 10:30:00', '2003-11-14 10:45:00',
               '2003-11-14 11:00:00', '2003-11-14 11:15:00',
               ...
               '2003-11-30 20:45:00', '2003-11-30 21:00:00',
               '2003-11-30 21:15:00', '2003-11-30 21:30:00',
               '2003-11-30 21:45:00', '2003-11-30 22:00:00',
               '2003-11-30 22:15:00', '2003-11-30 22:30:00',
               '2003-11-30 22:45:00', '2003-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-11-01 00:00:00', '2003-11-01 00:15:00',
               '2003-11-01 00:30:00', '2003-11-01 00:45:00',
               '2003-11-01 01:00:00', '2003-11-01 01:15:00',
               '2003-11-01 01:30:00', '2003-11-01 01:45:00',
               '2003-11-01 02:00:00', '2003-11-01 02:15:00',
               '2003-11-01 02:30:00', '2003-11-01 02:45:00',
               '2003-11-01 03:00:00', '2003-11-01 03:15:00',
               '2003-11-01 03:30:00', '2003-11-01 03:45:00',
               '2003-11-01 04:00:00', '2003-11-01 04:15:00',
               '2003-11-01 04:30:00', '2003-11-01 04:45:00',
               '2003-11-01 05:00:00', '2003-11-01 05:15:00',
               '2003-11-01 05:30:00', '2003-11-01 05:45:00',
               '2003-11-01 06:00:00', '2003-11-01 06:15:00',
               '2003-11-01 06:30:00', '2003-11-01 06:45:00',
               '2003-11-01 07:00:00', '2003-11-01 07:15:00',
               '2003-11-01 07:30:00', '2003-11-01 07:45:00',
               '2003-11-01 08:00:00', '2003-11-01 08:15:00',
               '2003-11-01 08:30:00', '2003-11-01 08:45:00',
               '2003-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-11-01 00:00:00', '2003-11-01 00:15:00',
               '2003-11-01 00:30:00', '2003-11-01 00:45:00',
               '2003-11-01 01:00:00', '2003-11-01 01:15:00',
               '2003-11-01 01:30:00', '2003-11-01 01:45:00',
               '2003-11-01 02:00:00', '2003-11-01 02:15:00',
               '2003-11-01 02:30:00', '2003-11-01 02:45:00',
               '2003-11-01 03:00:00', '2003-11-01 03:15:00',
               '2003-11-01 03:30:00', '2003-11-01 03:45:00',
               '2003-11-01 04:00:00', '2003-11-01 04:15:00',
               '2003-11-01 04:30:00', '2003-11-01 04:45:00',
               '2003-11-01 05:00:00', '2003-11-01 05:15:00',
               '2003-11-01 05:30:00', '2003-11-01 05:45:00',
               '2003-11-01 06:00:00', '2003-11-01 06:15:00',
               '2003-11-01 06:30:00', '2003-11-01 06:45:00',
               '2003-11-01 07:00:00', '2003-11-01 07:15:00',
               '2003-11-01 07:30:00', '2003-11-01 07:45:00',
               '2003-11-01 08:00:00', '2003-11-01 08:15:00',
               '2003-11-01 08:30:00', '2003-11-01 08:45:00',
               '2003-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-11-12 09:00:00', '2003-11-12 09:15:00',
               '2003-11-12 09:30:00', '2003-11-12 09:45:00',
               '2003-11-12 10:00:00', '2003-11-12 10:15:00',
               '2003-11-12 10:30:00', '2003-11-12 10:45:00',
               '2003-11-12 11:00:00', '2003-11-12 11:15:00',
               ...
               '2003-11-30 20:45:00', '2003-11-30 21:00:00',
               '2003-11-30 21:15:00', '2003-11-30 21:30:00',
               '2003-11-30 21:45:00', '2003-11-30 22:00:00',
               '2003-11-30 22:15:00', '2003-11-30 22:30:00',
               '2003-11-30 22:45:00', '2003-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1785, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-11-01 00:00:00', '2003-11-01 00:15:00',
               '2003-11-01 00:30:00', '2003-11-01 00:45:00',
               '2003-11-01 01:00:00', '2003-11-01 01:15:00',
               '2003-11-01 01:30:00', '2003-11-01 01:45:00',
               '2003-11-01 02:00:00', '2003-11-01 02:15:00',
               '2003-11-01 02:30:00', '2003-11-01 02:45:00',
               '2003-11-01 03:00:00', '2003-11-01 03:15:00',
               '2003-11-01 03:30:00', '2003-11-01 03:45:00',
               '2003-11-01 04:00:00', '2003-11-01 04:15:00',
               '2003-11-01 04:30:00', '2003-11-01 04:45:00',
               '2003-11-01 05:00:00', '2003-11-01 05:15:00',
               '2003-11-01 05:30:00', '2003-11-01 05:45:00',
               '2003-11-01 06:00:00', '2003-11-01 06:15:00',
               '2003-11-01 06:30:00', '2003-11-01 06:45:00',
               '2003-11-01 07:00:00', '2003-11-01 07:15:00',
               '2003-11-01 07:30:00', '2003-11-01 07:45:00',
               '2003-11-01 08:00:00', '2003-11-01 08:15:00',
               '2003-11-01 08:30:00', '2003-11-01 08:45:00',
               '2003-11-01 09:00:00', '2003-11-06 20:00:00',
               '2003-11-06 20:15:00', '2003-11-06 20:30:00',
               '2003-11-06 20:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-11-1T00 to 2003-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-11-1T00 to 2003-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-12-01 00:00:00', '2003-12-01 00:15:00',
               '2003-12-01 00:30:00', '2003-12-01 00:45:00',
               '2003-12-01 01:00:00', '2003-12-01 01:15:00',
               '2003-12-01 01:30:00', '2003-12-01 01:45:00',
               '2003-12-01 02:00:00', '2003-12-01 02:15:00',
               '2003-12-01 02:30:00', '2003-12-01 02:45:00',
               '2003-12-01 03:00:00', '2003-12-01 03:15:00',
               '2003-12-01 03:30:00', '2003-12-01 03:45:00',
               '2003-12-01 04:00:00', '2003-12-01 04:15:00',
               '2003-12-01 04:30:00', '2003-12-01 04:45:00',
               '2003-12-01 05:00:00', '2003-12-01 05:15:00',
               '2003-12-01 05:30:00', '2003-12-01 05:45:00',
               '2003-12-01 06:00:00', '2003-12-01 06:15:00',
               '2003-12-01 06:30:00', '2003-12-01 06:45:00',
               '2003-12-01 07:00:00', '2003-12-01 07:15:00',
               '2003-12-01 07:30:00', '2003-12-01 07:45:00',
               '2003-12-01 08:00:00', '2003-12-01 08:15:00',
               '2003-12-01 08:30:00', '2003-12-01 08:45:00',
               '2003-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2003-12-09 09:00:00', '2003-12-09 09:15:00',
               '2003-12-09 09:30:00', '2003-12-09 09:45:00',
               '2003-12-09 10:00:00', '2003-12-09 10:15:00',
               '2003-12-09 10:30:00', '2003-12-09 10:45:00',
               '2003-12-09 11:00:00', '2003-12-09 11:15:00',
               ...
               '2003-12-31 20:45:00', '2003-12-31 21:00:00',
               '2003-12-31 21:15:00', '2003-12-31 21:30:00',
               '2003-12-31 21:45:00', '2003-12-31 22:00:00',
               '2003-12-31 22:15:00', '2003-12-31 22:30:00',
               '2003-12-31 22:45:00', '2003-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2073, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2003-12-01 00:00:00', '2003-12-01 00:15:00',
               '2003-12-01 00:30:00', '2003-12-01 00:45:00',
               '2003-12-01 01:00:00', '2003-12-01 01:15:00',
               '2003-12-01 01:30:00', '2003-12-01 01:45:00',
               '2003-12-01 02:00:00', '2003-12-01 02:15:00',
               ...
               '2003-12-08 06:45:00', '2003-12-08 07:00:00',
               '2003-12-08 07:15:00', '2003-12-08 07:30:00',
               '2003-12-08 07:45:00', '2003-12-08 08:00:00',
               '2003-12-08 08:15:00', '2003-12-08 08:30:00',
               '2003-12-08 08:45:00', '2003-12-08 09:00:00'],
              dtype='datetime64[ns]', length=615, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2003-12-1T00 to 2003-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2003-12-1T00 to 2003-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2004

year = 2004
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-01-01 00:00:00', '2004-01-01 00:15:00',
               '2004-01-01 00:30:00', '2004-01-01 00:45:00',
               '2004-01-01 01:00:00', '2004-01-01 01:15:00',
               '2004-01-01 01:30:00', '2004-01-01 01:45:00',
               '2004-01-01 02:00:00', '2004-01-01 02:15:00',
               '2004-01-01 02:30:00', '2004-01-01 02:45:00',
               '2004-01-01 03:00:00', '2004-01-01 03:15:00',
               '2004-01-01 03:30:00', '2004-01-01 03:45:00',
               '2004-01-01 04:00:00', '2004-01-01 04:15:00',
               '2004-01-01 04:30:00', '2004-01-01 04:45:00',
               '2004-01-01 05:00:00', '2004-01-01 05:15:00',
               '2004-01-01 05:30:00', '2004-01-01 05:45:00',
               '2004-01-01 06:00:00', '2004-01-01 06:15:00',
               '2004-01-01 06:30:00', '2004-01-01 06:45:00',
               '2004-01-01 07:00:00', '2004-01-01 07:15:00',
               '2004-01-01 07:30:00', '2004-01-01 07:45:00',
               '2004-01-01 08:00:00', '2004-01-01 08:15:00',
               '2004-01-01 08:30:00', '2004-01-01 08:45:00',
               '2004-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-1-1T00 to 2004-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-1-1T00 to 2004-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-02-01 00:00:00', '2004-02-01 00:15:00',
               '2004-02-01 00:30:00', '2004-02-01 00:45:00',
               '2004-02-01 01:00:00', '2004-02-01 01:15:00',
               '2004-02-01 01:30:00', '2004-02-01 01:45:00',
               '2004-02-01 02:00:00', '2004-02-01 02:15:00',
               ...
               '2004-02-21 06:45:00', '2004-02-21 07:00:00',
               '2004-02-21 07:15:00', '2004-02-21 07:30:00',
               '2004-02-21 07:45:00', '2004-02-21 08:00:00',
               '2004-02-21 08:15:00', '2004-02-21 08:30:00',
               '2004-02-21 08:45:00', '2004-02-21 09:00:00'],
              dtype='datetime64[ns]', length=1095, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-02-01 00:00:00', '2004-02-01 00:15:00',
               '2004-02-01 00:30:00', '2004-02-01 00:45:00',
               '2004-02-01 01:00:00', '2004-02-01 01:15:00',
               '2004-02-01 01:30:00', '2004-02-01 01:45:00',
               '2004-02-01 02:00:00', '2004-02-01 02:15:00',
               '2004-02-01 02:30:00', '2004-02-01 02:45:00',
               '2004-02-01 03:00:00', '2004-02-01 03:15:00',
               '2004-02-01 03:30:00', '2004-02-01 03:45:00',
               '2004-02-01 04:00:00', '2004-02-01 04:15:00',
               '2004-02-01 04:30:00', '2004-02-01 04:45:00',
               '2004-02-01 05:00:00', '2004-02-01 05:15:00',
               '2004-02-01 05:30:00', '2004-02-01 05:45:00',
               '2004-02-01 06:00:00', '2004-02-01 06:15:00',
               '2004-02-01 06:30:00', '2004-02-01 06:45:00',
               '2004-02-01 07:00:00', '2004-02-01 07:15:00',
               '2004-02-01 07:30:00', '2004-02-01 07:45:00',
               '2004-02-01 08:00:00', '2004-02-01 08:15:00',
               '2004-02-01 08:30:00', '2004-02-01 08:45:00',
               '2004-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-02-01 00:00:00', '2004-02-01 00:15:00',
               '2004-02-01 00:30:00', '2004-02-01 00:45:00',
               '2004-02-01 01:00:00', '2004-02-01 01:15:00',
               '2004-02-01 01:30:00', '2004-02-01 01:45:00',
               '2004-02-01 02:00:00', '2004-02-01 02:15:00',
               ...
               '2004-02-13 06:30:00', '2004-02-13 06:45:00',
               '2004-02-13 07:00:00', '2004-02-13 07:15:00',
               '2004-02-13 07:30:00', '2004-02-13 07:45:00',
               '2004-02-13 08:00:00', '2004-02-13 08:15:00',
               '2004-02-13 08:30:00', '2004-02-13 08:45:00'],
              dtype='datetime64[ns]', length=1188, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-02-15 08:45:00', '2004-02-15 09:00:00',
               '2004-02-15 09:15:00', '2004-02-15 09:30:00',
               '2004-02-15 09:45:00', '2004-02-15 10:00:00',
               '2004-02-15 10:15:00', '2004-02-15 10:30:00',
               '2004-02-15 10:45:00', '2004-02-15 11:00:00',
               ...
               '2004-02-20 06:45:00', '2004-02-20 07:00:00',
               '2004-02-20 07:15:00', '2004-02-20 07:30:00',
               '2004-02-20 07:45:00', '2004-02-20 08:00:00',
               '2004-02-20 08:15:00', '2004-02-20 08:30:00',
               '2004-02-20 08:45:00', '2004-02-20 09:00:00'],
              dtype='datetime64[ns]', length=482, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-2-1T00 to 2004-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-2-1T00 to 2004-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-03-06 09:00:00', '2004-03-06 09:15:00',
               '2004-03-06 09:30:00', '2004-03-06 09:45:00',
               '2004-03-06 10:00:00', '2004-03-06 10:15:00',
               '2004-03-06 10:30:00', '2004-03-06 10:45:00',
               '2004-03-06 11:00:00', '2004-03-06 11:15:00',
               ...
               '2004-03-25 06:30:00', '2004-03-25 06:45:00',
               '2004-03-25 07:00:00', '2004-03-25 07:15:00',
               '2004-03-25 07:30:00', '2004-03-25 07:45:00',
               '2004-03-25 08:00:00', '2004-03-25 08:15:00',
               '2004-03-25 08:30:00', '2004-03-25 08:45:00'],
              dtype='datetime64[ns]', length=1824, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-03-01 00:00:00', '2004-03-01 00:15:00',
               '2004-03-01 00:30:00', '2004-03-01 00:45:00',
               '2004-03-01 01:00:00', '2004-03-01 01:15:00',
               '2004-03-01 01:30:00', '2004-03-01 01:45:00',
               '2004-03-01 02:00:00', '2004-03-01 02:15:00',
               '2004-03-01 02:30:00', '2004-03-01 02:45:00',
               '2004-03-01 03:00:00', '2004-03-01 03:15:00',
               '2004-03-01 03:30:00', '2004-03-01 03:45:00',
               '2004-03-01 04:00:00', '2004-03-01 04:15:00',
               '2004-03-01 04:30:00', '2004-03-01 04:45:00',
               '2004-03-01 05:00:00', '2004-03-01 05:15:00',
               '2004-03-01 05:30:00', '2004-03-01 05:45:00',
               '2004-03-01 06:00:00', '2004-03-01 06:15:00',
               '2004-03-01 06:30:00', '2004-03-01 06:45:00',
               '2004-03-01 07:00:00', '2004-03-01 07:15:00',
               '2004-03-01 07:30:00', '2004-03-01 07:45:00',
               '2004-03-01 08:00:00', '2004-03-01 08:15:00',
               '2004-03-01 08:30:00', '2004-03-01 08:45:00',
               '2004-03-01 09:00:00', '2004-03-31 08:45:00',
               '2004-03-31 09:00:00', '2004-03-31 09:15:00',
               '2004-03-31 09:30:00', '2004-03-31 09:45:00',
               '2004-03-31 10:00:00', '2004-03-31 10:15:00',
               '2004-03-31 10:30:00', '2004-03-31 10:45:00',
               '2004-03-31 11:00:00', '2004-03-31 11:15:00',
               '2004-03-31 11:30:00', '2004-03-31 11:45:00',
               '2004-03-31 12:00:00', '2004-03-31 12:15:00',
               '2004-03-31 12:30:00', '2004-03-31 12:45:00',
               '2004-03-31 13:00:00', '2004-03-31 13:15:00',
               '2004-03-31 13:30:00', '2004-03-31 13:45:00',
               '2004-03-31 14:00:00', '2004-03-31 14:15:00',
               '2004-03-31 14:30:00', '2004-03-31 14:45:00',
               '2004-03-31 15:00:00', '2004-03-31 15:15:00',
               '2004-03-31 15:30:00', '2004-03-31 15:45:00',
               '2004-03-31 16:00:00', '2004-03-31 16:15:00',
               '2004-03-31 16:30:00', '2004-03-31 16:45:00',
               '2004-03-31 17:00:00', '2004-03-31 17:15:00',
               '2004-03-31 17:30:00', '2004-03-31 17:45:00',
               '2004-03-31 18:00:00', '2004-03-31 18:15:00',
               '2004-03-31 18:30:00', '2004-03-31 18:45:00',
               '2004-03-31 19:00:00', '2004-03-31 19:15:00',
               '2004-03-31 19:30:00', '2004-03-31 19:45:00',
               '2004-03-31 20:00:00', '2004-03-31 20:15:00',
               '2004-03-31 20:30:00', '2004-03-31 20:45:00',
               '2004-03-31 21:00:00', '2004-03-31 21:15:00',
               '2004-03-31 21:30:00', '2004-03-31 21:45:00',
               '2004-03-31 22:00:00', '2004-03-31 22:15:00',
               '2004-03-31 22:30:00', '2004-03-31 22:45:00',
               '2004-03-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-03-01 00:00:00', '2004-03-01 00:15:00',
               '2004-03-01 00:30:00', '2004-03-01 00:45:00',
               '2004-03-01 01:00:00', '2004-03-01 01:15:00',
               '2004-03-01 01:30:00', '2004-03-01 01:45:00',
               '2004-03-01 02:00:00', '2004-03-01 02:15:00',
               '2004-03-01 02:30:00', '2004-03-01 02:45:00',
               '2004-03-01 03:00:00', '2004-03-01 03:15:00',
               '2004-03-01 03:30:00', '2004-03-01 03:45:00',
               '2004-03-01 04:00:00', '2004-03-01 04:15:00',
               '2004-03-01 04:30:00', '2004-03-01 04:45:00',
               '2004-03-01 05:00:00', '2004-03-01 05:15:00',
               '2004-03-01 05:30:00', '2004-03-01 05:45:00',
               '2004-03-01 06:00:00', '2004-03-01 06:15:00',
               '2004-03-01 06:30:00', '2004-03-01 06:45:00',
               '2004-03-01 07:00:00', '2004-03-01 07:15:00',
               '2004-03-01 07:30:00', '2004-03-01 07:45:00',
               '2004-03-01 08:00:00', '2004-03-01 08:15:00',
               '2004-03-01 08:30:00', '2004-03-01 08:45:00',
               '2004-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-03-01 00:00:00', '2004-03-01 00:15:00',
               '2004-03-01 00:30:00', '2004-03-01 00:45:00',
               '2004-03-01 01:00:00', '2004-03-01 01:15:00',
               '2004-03-01 01:30:00', '2004-03-01 01:45:00',
               '2004-03-01 02:00:00', '2004-03-01 02:15:00',
               ...
               '2004-03-31 20:45:00', '2004-03-31 21:00:00',
               '2004-03-31 21:15:00', '2004-03-31 21:30:00',
               '2004-03-31 21:45:00', '2004-03-31 22:00:00',
               '2004-03-31 22:15:00', '2004-03-31 22:30:00',
               '2004-03-31 22:45:00', '2004-03-31 23:00:00'],
              dtype='datetime64[ns]', length=1063, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-3-1T00 to 2004-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-3-1T00 to 2004-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-04-01 00:00:00', '2004-04-01 00:15:00',
               '2004-04-01 00:30:00', '2004-04-01 00:45:00',
               '2004-04-01 01:00:00', '2004-04-01 01:15:00',
               '2004-04-01 01:30:00', '2004-04-01 01:45:00',
               '2004-04-01 02:00:00', '2004-04-01 02:15:00',
               ...
               '2004-04-10 05:30:00', '2004-04-10 05:45:00',
               '2004-04-10 06:00:00', '2004-04-10 06:15:00',
               '2004-04-10 06:30:00', '2004-04-10 06:45:00',
               '2004-04-10 07:00:00', '2004-04-10 07:15:00',
               '2004-04-10 07:30:00', '2004-04-10 07:45:00'],
              dtype='datetime64[ns]', length=896, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-04-01 00:00:00', '2004-04-01 00:15:00',
               '2004-04-01 00:30:00', '2004-04-01 00:45:00',
               '2004-04-01 01:00:00', '2004-04-01 01:15:00',
               '2004-04-01 01:30:00', '2004-04-01 01:45:00',
               '2004-04-01 02:00:00', '2004-04-01 02:15:00',
               ...
               '2004-04-03 06:45:00', '2004-04-03 07:00:00',
               '2004-04-03 07:15:00', '2004-04-03 07:30:00',
               '2004-04-03 07:45:00', '2004-04-03 08:00:00',
               '2004-04-03 08:15:00', '2004-04-03 08:30:00',
               '2004-04-03 08:45:00', '2004-04-03 09:00:00'],
              dtype='datetime64[ns]', length=229, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-04-01 00:00:00', '2004-04-01 00:15:00',
               '2004-04-01 00:30:00', '2004-04-01 00:45:00',
               '2004-04-01 01:00:00', '2004-04-01 01:15:00',
               '2004-04-01 01:30:00', '2004-04-01 01:45:00',
               '2004-04-01 02:00:00', '2004-04-01 02:15:00',
               ...
               '2004-04-22 05:30:00', '2004-04-22 05:45:00',
               '2004-04-22 06:00:00', '2004-04-22 06:15:00',
               '2004-04-22 06:30:00', '2004-04-22 06:45:00',
               '2004-04-22 07:00:00', '2004-04-22 07:15:00',
               '2004-04-22 07:30:00', '2004-04-22 07:45:00'],
              dtype='datetime64[ns]', length=2048, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-04-01 00:00:00', '2004-04-01 00:15:00',
               '2004-04-01 00:30:00', '2004-04-01 00:45:00',
               '2004-04-01 01:00:00', '2004-04-01 01:15:00',
               '2004-04-01 01:30:00', '2004-04-01 01:45:00',
               '2004-04-01 02:00:00', '2004-04-01 02:15:00',
               '2004-04-01 02:30:00', '2004-04-01 02:45:00',
               '2004-04-01 03:00:00', '2004-04-01 03:15:00',
               '2004-04-01 03:30:00', '2004-04-01 03:45:00',
               '2004-04-01 04:00:00', '2004-04-01 04:15:00',
               '2004-04-01 04:30:00', '2004-04-01 04:45:00',
               '2004-04-01 05:00:00', '2004-04-01 05:15:00',
               '2004-04-01 05:30:00', '2004-04-01 05:45:00',
               '2004-04-01 06:00:00', '2004-04-01 06:15:00',
               '2004-04-01 06:30:00', '2004-04-01 06:45:00',
               '2004-04-01 07:00:00', '2004-04-01 07:15:00',
               '2004-04-01 07:30:00', '2004-04-01 07:45:00',
               '2004-04-01 08:00:00', '2004-04-01 08:15:00',
               '2004-04-01 08:30:00', '2004-04-01 08:45:00',
               '2004-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-04-01 00:00:00', '2004-04-01 00:15:00',
               '2004-04-01 00:30:00', '2004-04-01 00:45:00',
               '2004-04-01 01:00:00', '2004-04-01 01:15:00',
               '2004-04-01 01:30:00', '2004-04-01 01:45:00',
               '2004-04-01 02:00:00', '2004-04-01 02:15:00',
               ...
               '2004-04-15 05:30:00', '2004-04-15 05:45:00',
               '2004-04-15 06:00:00', '2004-04-15 06:15:00',
               '2004-04-15 06:30:00', '2004-04-15 06:45:00',
               '2004-04-15 07:00:00', '2004-04-15 07:15:00',
               '2004-04-15 07:30:00', '2004-04-15 07:45:00'],
              dtype='datetime64[ns]', length=1376, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-04-01 00:00:00', '2004-04-01 00:15:00',
               '2004-04-01 00:30:00', '2004-04-01 00:45:00',
               '2004-04-01 01:00:00', '2004-04-01 01:15:00',
               '2004-04-01 01:30:00', '2004-04-01 01:45:00',
               '2004-04-01 02:00:00', '2004-04-01 02:15:00',
               ...
               '2004-04-26 05:30:00', '2004-04-26 05:45:00',
               '2004-04-26 06:00:00', '2004-04-26 06:15:00',
               '2004-04-26 06:30:00', '2004-04-26 06:45:00',
               '2004-04-26 07:00:00', '2004-04-26 07:15:00',
               '2004-04-26 07:30:00', '2004-04-26 07:45:00'],
              dtype='datetime64[ns]', length=2432, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-04-01 00:00:00', '2004-04-01 00:15:00',
               '2004-04-01 00:30:00', '2004-04-01 00:45:00',
               '2004-04-01 01:00:00', '2004-04-01 01:15:00',
               '2004-04-01 01:30:00', '2004-04-01 01:45:00',
               '2004-04-01 02:00:00', '2004-04-01 02:15:00',
               ...
               '2004-04-02 06:45:00', '2004-04-02 07:00:00',
               '2004-04-02 07:15:00', '2004-04-02 07:30:00',
               '2004-04-02 07:45:00', '2004-04-02 08:00:00',
               '2004-04-02 08:15:00', '2004-04-02 08:30:00',
               '2004-04-02 08:45:00', '2004-04-02 09:00:00'],
              dtype='datetime64[ns]', length=133, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-4-1T00 to 2004-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-4-1T00 to 2004-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               ...
               '2004-05-05 05:45:00', '2004-05-05 06:00:00',
               '2004-05-05 06:15:00', '2004-05-05 06:30:00',
               '2004-05-05 06:45:00', '2004-05-05 07:00:00',
               '2004-05-05 07:15:00', '2004-05-05 07:30:00',
               '2004-05-05 07:45:00', '2004-05-05 08:00:00'],
              dtype='datetime64[ns]', length=417, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               '2004-05-01 02:30:00', '2004-05-01 02:45:00',
               '2004-05-01 03:00:00', '2004-05-01 03:15:00',
               '2004-05-01 03:30:00', '2004-05-01 03:45:00',
               '2004-05-01 04:00:00', '2004-05-01 04:15:00',
               '2004-05-01 04:30:00', '2004-05-01 04:45:00',
               '2004-05-01 05:00:00', '2004-05-01 05:15:00',
               '2004-05-01 05:30:00', '2004-05-01 05:45:00',
               '2004-05-01 06:00:00', '2004-05-01 06:15:00',
               '2004-05-01 06:30:00', '2004-05-01 06:45:00',
               '2004-05-01 07:00:00', '2004-05-01 07:15:00',
               '2004-05-01 07:30:00', '2004-05-01 07:45:00',
               '2004-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               '2004-05-01 02:30:00', '2004-05-01 02:45:00',
               '2004-05-01 03:00:00', '2004-05-01 03:15:00',
               '2004-05-01 03:30:00', '2004-05-01 03:45:00',
               '2004-05-01 04:00:00', '2004-05-01 04:15:00',
               '2004-05-01 04:30:00', '2004-05-01 04:45:00',
               '2004-05-01 05:00:00', '2004-05-01 05:15:00',
               '2004-05-01 05:30:00', '2004-05-01 05:45:00',
               '2004-05-01 06:00:00', '2004-05-01 06:15:00',
               '2004-05-01 06:30:00', '2004-05-01 06:45:00',
               '2004-05-01 07:00:00', '2004-05-01 07:15:00',
               '2004-05-01 07:30:00', '2004-05-01 07:45:00',
               '2004-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               ...
               '2004-05-30 20:30:00', '2004-05-31 02:30:00',
               '2004-05-31 02:45:00', '2004-05-31 03:00:00',
               '2004-05-31 10:15:00', '2004-05-31 10:30:00',
               '2004-05-31 10:45:00', '2004-05-31 15:30:00',
               '2004-05-31 15:45:00', '2004-05-31 16:00:00'],
              dtype='datetime64[ns]', length=395, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               '2004-05-01 02:30:00', '2004-05-01 02:45:00',
               '2004-05-01 03:00:00', '2004-05-01 03:15:00',
               '2004-05-01 03:30:00', '2004-05-01 03:45:00',
               '2004-05-01 04:00:00', '2004-05-01 04:15:00',
               '2004-05-01 04:30:00', '2004-05-01 04:45:00',
               '2004-05-01 05:00:00', '2004-05-01 05:15:00',
               '2004-05-01 05:30:00', '2004-05-01 05:45:00',
               '2004-05-01 06:00:00', '2004-05-01 06:15:00',
               '2004-05-01 06:30:00', '2004-05-01 06:45:00',
               '2004-05-01 07:00:00', '2004-05-01 07:15:00',
               '2004-05-01 07:30:00', '2004-05-01 07:45:00',
               '2004-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               '2004-05-01 02:30:00', '2004-05-01 02:45:00',
               '2004-05-01 03:00:00', '2004-05-01 03:15:00',
               '2004-05-01 03:30:00', '2004-05-01 03:45:00',
               '2004-05-01 04:00:00', '2004-05-01 04:15:00',
               '2004-05-01 04:30:00', '2004-05-01 04:45:00',
               '2004-05-01 05:00:00', '2004-05-01 05:15:00',
               '2004-05-01 05:30:00', '2004-05-01 05:45:00',
               '2004-05-01 06:00:00', '2004-05-01 06:15:00',
               '2004-05-01 06:30:00', '2004-05-01 06:45:00',
               '2004-05-01 07:00:00', '2004-05-01 07:15:00',
               '2004-05-01 07:30:00', '2004-05-01 07:45:00',
               '2004-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               '2004-05-01 02:30:00', '2004-05-01 02:45:00',
               '2004-05-01 03:00:00', '2004-05-01 03:15:00',
               '2004-05-01 03:30:00', '2004-05-01 03:45:00',
               '2004-05-01 04:00:00', '2004-05-01 04:15:00',
               '2004-05-01 04:30:00', '2004-05-01 04:45:00',
               '2004-05-01 05:00:00', '2004-05-01 05:15:00',
               '2004-05-01 05:30:00', '2004-05-01 05:45:00',
               '2004-05-01 06:00:00', '2004-05-01 06:15:00',
               '2004-05-01 06:30:00', '2004-05-01 06:45:00',
               '2004-05-01 07:00:00', '2004-05-01 07:15:00',
               '2004-05-01 07:30:00', '2004-05-01 07:45:00',
               '2004-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               '2004-05-01 02:30:00', '2004-05-01 02:45:00',
               '2004-05-01 03:00:00', '2004-05-01 03:15:00',
               '2004-05-01 03:30:00', '2004-05-01 03:45:00',
               '2004-05-01 04:00:00', '2004-05-01 04:15:00',
               '2004-05-01 04:30:00', '2004-05-01 04:45:00',
               '2004-05-01 05:00:00', '2004-05-01 05:15:00',
               '2004-05-01 05:30:00', '2004-05-01 05:45:00',
               '2004-05-01 06:00:00', '2004-05-01 06:15:00',
               '2004-05-01 06:30:00', '2004-05-01 06:45:00',
               '2004-05-01 07:00:00', '2004-05-01 07:15:00',
               '2004-05-01 07:30:00', '2004-05-01 07:45:00',
               '2004-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-05-01 00:00:00', '2004-05-01 00:15:00',
               '2004-05-01 00:30:00', '2004-05-01 00:45:00',
               '2004-05-01 01:00:00', '2004-05-01 01:15:00',
               '2004-05-01 01:30:00', '2004-05-01 01:45:00',
               '2004-05-01 02:00:00', '2004-05-01 02:15:00',
               ...
               '2004-05-08 05:45:00', '2004-05-08 06:00:00',
               '2004-05-08 06:15:00', '2004-05-08 06:30:00',
               '2004-05-08 06:45:00', '2004-05-08 07:00:00',
               '2004-05-08 07:15:00', '2004-05-08 07:30:00',
               '2004-05-08 07:45:00', '2004-05-08 08:00:00'],
              dtype='datetime64[ns]', length=705, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-5-1T00 to 2004-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-5-1T00 to 2004-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-06-06 08:00:00', '2004-06-06 08:15:00',
               '2004-06-06 08:30:00', '2004-06-06 08:45:00',
               '2004-06-06 09:00:00', '2004-06-06 09:15:00',
               '2004-06-06 09:30:00', '2004-06-06 09:45:00',
               '2004-06-06 10:00:00', '2004-06-06 10:15:00',
               ...
               '2004-06-15 05:30:00', '2004-06-15 05:45:00',
               '2004-06-15 06:00:00', '2004-06-15 06:15:00',
               '2004-06-15 06:30:00', '2004-06-15 06:45:00',
               '2004-06-15 07:00:00', '2004-06-15 07:15:00',
               '2004-06-15 07:30:00', '2004-06-15 07:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               ...
               '2004-06-30 20:45:00', '2004-06-30 21:00:00',
               '2004-06-30 21:15:00', '2004-06-30 21:30:00',
               '2004-06-30 21:45:00', '2004-06-30 22:00:00',
               '2004-06-30 22:15:00', '2004-06-30 22:30:00',
               '2004-06-30 22:45:00', '2004-06-30 23:00:00'],
              dtype='datetime64[ns]', length=598, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-06-01 00:00:00', '2004-06-01 00:15:00',
               '2004-06-01 00:30:00', '2004-06-01 00:45:00',
               '2004-06-01 01:00:00', '2004-06-01 01:15:00',
               '2004-06-01 01:30:00', '2004-06-01 01:45:00',
               '2004-06-01 02:00:00', '2004-06-01 02:15:00',
               '2004-06-01 02:30:00', '2004-06-01 02:45:00',
               '2004-06-01 03:00:00', '2004-06-01 03:15:00',
               '2004-06-01 03:30:00', '2004-06-01 03:45:00',
               '2004-06-01 04:00:00', '2004-06-01 04:15:00',
               '2004-06-01 04:30:00', '2004-06-01 04:45:00',
               '2004-06-01 05:00:00', '2004-06-01 05:15:00',
               '2004-06-01 05:30:00', '2004-06-01 05:45:00',
               '2004-06-01 06:00:00', '2004-06-01 06:15:00',
               '2004-06-01 06:30:00', '2004-06-01 06:45:00',
               '2004-06-01 07:00:00', '2004-06-01 07:15:00',
               '2004-06-01 07:30:00', '2004-06-01 07:45:00',
               '2004-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-6-1T00 to 2004-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-6-1T00 to 2004-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               '2004-07-01 02:30:00', '2004-07-01 02:45:00',
               '2004-07-01 03:00:00', '2004-07-01 03:15:00',
               '2004-07-01 03:30:00', '2004-07-01 03:45:00',
               '2004-07-01 04:00:00', '2004-07-01 04:15:00',
               '2004-07-01 04:30:00', '2004-07-01 04:45:00',
               '2004-07-01 05:00:00', '2004-07-01 05:15:00',
               '2004-07-01 05:30:00', '2004-07-01 05:45:00',
               '2004-07-01 06:00:00', '2004-07-01 06:15:00',
               '2004-07-01 06:30:00', '2004-07-01 06:45:00',
               '2004-07-01 07:00:00', '2004-07-01 07:15:00',
               '2004-07-01 07:30:00', '2004-07-01 07:45:00',
               '2004-07-01 08:00:00', '2004-07-15 17:45:00',
               '2004-07-15 18:00:00', '2004-07-15 18:15:00',
               '2004-07-15 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               '2004-07-01 02:30:00', '2004-07-01 02:45:00',
               '2004-07-01 03:00:00', '2004-07-01 03:15:00',
               '2004-07-01 03:30:00', '2004-07-01 03:45:00',
               '2004-07-01 04:00:00', '2004-07-01 04:15:00',
               '2004-07-01 04:30:00', '2004-07-01 04:45:00',
               '2004-07-01 05:00:00', '2004-07-01 05:15:00',
               '2004-07-01 05:30:00', '2004-07-01 05:45:00',
               '2004-07-01 06:00:00', '2004-07-01 06:15:00',
               '2004-07-01 06:30:00', '2004-07-01 06:45:00',
               '2004-07-01 07:00:00', '2004-07-01 07:15:00',
               '2004-07-01 07:30:00', '2004-07-01 07:45:00',
               '2004-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               '2004-07-01 02:30:00', '2004-07-01 02:45:00',
               '2004-07-01 03:00:00', '2004-07-01 03:15:00',
               '2004-07-01 03:30:00', '2004-07-01 03:45:00',
               '2004-07-01 04:00:00', '2004-07-01 04:15:00',
               '2004-07-01 04:30:00', '2004-07-01 04:45:00',
               '2004-07-01 05:00:00', '2004-07-01 05:15:00',
               '2004-07-01 05:30:00', '2004-07-01 05:45:00',
               '2004-07-01 06:00:00', '2004-07-01 06:15:00',
               '2004-07-01 06:30:00', '2004-07-01 06:45:00',
               '2004-07-01 07:00:00', '2004-07-01 07:15:00',
               '2004-07-01 07:30:00', '2004-07-01 07:45:00',
               '2004-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               ...
               '2004-07-27 05:45:00', '2004-07-27 06:00:00',
               '2004-07-27 06:15:00', '2004-07-27 06:30:00',
               '2004-07-27 06:45:00', '2004-07-27 07:00:00',
               '2004-07-27 07:15:00', '2004-07-27 07:30:00',
               '2004-07-27 07:45:00', '2004-07-27 08:00:00'],
              dtype='datetime64[ns]', length=613, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               '2004-07-01 02:30:00', '2004-07-01 02:45:00',
               '2004-07-01 03:00:00', '2004-07-01 03:15:00',
               '2004-07-01 03:30:00', '2004-07-01 03:45:00',
               '2004-07-01 04:00:00', '2004-07-01 04:15:00',
               '2004-07-01 04:30:00', '2004-07-01 04:45:00',
               '2004-07-01 05:00:00', '2004-07-01 05:15:00',
               '2004-07-01 05:30:00', '2004-07-01 05:45:00',
               '2004-07-01 06:00:00', '2004-07-01 06:15:00',
               '2004-07-01 06:30:00', '2004-07-01 06:45:00',
               '2004-07-01 07:00:00', '2004-07-01 07:15:00',
               '2004-07-01 07:30:00', '2004-07-01 07:45:00',
               '2004-07-01 08:00:00', '2004-07-29 17:30:00',
               '2004-07-29 17:45:00', '2004-07-29 18:00:00',
               '2004-07-29 18:15:00', '2004-07-29 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               ...
               '2004-07-04 05:45:00', '2004-07-04 06:00:00',
               '2004-07-04 06:15:00', '2004-07-04 06:30:00',
               '2004-07-04 06:45:00', '2004-07-04 07:00:00',
               '2004-07-04 07:15:00', '2004-07-04 07:30:00',
               '2004-07-04 07:45:00', '2004-07-04 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               '2004-07-01 02:30:00', '2004-07-01 02:45:00',
               '2004-07-01 03:00:00', '2004-07-01 03:15:00',
               '2004-07-01 03:30:00', '2004-07-01 03:45:00',
               '2004-07-01 04:00:00', '2004-07-01 04:15:00',
               '2004-07-01 04:30:00', '2004-07-01 04:45:00',
               '2004-07-01 05:00:00', '2004-07-01 05:15:00',
               '2004-07-01 05:30:00', '2004-07-01 05:45:00',
               '2004-07-01 06:00:00', '2004-07-01 06:15:00',
               '2004-07-01 06:30:00', '2004-07-01 06:45:00',
               '2004-07-01 07:00:00', '2004-07-01 07:15:00',
               '2004-07-01 07:30:00', '2004-07-01 07:45:00',
               '2004-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               '2004-07-01 02:30:00', '2004-07-01 02:45:00',
               '2004-07-01 03:00:00', '2004-07-01 03:15:00',
               '2004-07-01 03:30:00', '2004-07-01 03:45:00',
               '2004-07-01 04:00:00', '2004-07-01 04:15:00',
               '2004-07-01 04:30:00', '2004-07-01 04:45:00',
               '2004-07-01 05:00:00', '2004-07-01 05:15:00',
               '2004-07-01 05:30:00', '2004-07-01 05:45:00',
               '2004-07-01 06:00:00', '2004-07-01 06:15:00',
               '2004-07-01 06:30:00', '2004-07-01 06:45:00',
               '2004-07-01 07:00:00', '2004-07-01 07:15:00',
               '2004-07-01 07:30:00', '2004-07-01 07:45:00',
               '2004-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-07-01 00:00:00', '2004-07-01 00:15:00',
               '2004-07-01 00:30:00', '2004-07-01 00:45:00',
               '2004-07-01 01:00:00', '2004-07-01 01:15:00',
               '2004-07-01 01:30:00', '2004-07-01 01:45:00',
               '2004-07-01 02:00:00', '2004-07-01 02:15:00',
               '2004-07-01 02:30:00', '2004-07-01 02:45:00',
               '2004-07-01 03:00:00', '2004-07-01 03:15:00',
               '2004-07-01 03:30:00', '2004-07-01 03:45:00',
               '2004-07-01 04:00:00', '2004-07-01 04:15:00',
               '2004-07-01 04:30:00', '2004-07-01 04:45:00',
               '2004-07-01 05:00:00', '2004-07-01 05:15:00',
               '2004-07-01 05:30:00', '2004-07-01 05:45:00',
               '2004-07-01 06:00:00', '2004-07-01 06:15:00',
               '2004-07-01 06:30:00', '2004-07-01 06:45:00',
               '2004-07-01 07:00:00', '2004-07-01 07:15:00',
               '2004-07-01 07:30:00', '2004-07-01 07:45:00',
               '2004-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-7-1T00 to 2004-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-7-1T00 to 2004-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               '2004-08-01 02:30:00', '2004-08-01 02:45:00',
               '2004-08-01 03:00:00', '2004-08-01 03:15:00',
               '2004-08-01 03:30:00', '2004-08-01 03:45:00',
               '2004-08-01 04:00:00', '2004-08-01 04:15:00',
               '2004-08-01 04:30:00', '2004-08-01 04:45:00',
               '2004-08-01 05:00:00', '2004-08-01 05:15:00',
               '2004-08-01 05:30:00', '2004-08-01 05:45:00',
               '2004-08-01 06:00:00', '2004-08-01 06:15:00',
               '2004-08-01 06:30:00', '2004-08-01 06:45:00',
               '2004-08-01 07:00:00', '2004-08-01 07:15:00',
               '2004-08-01 07:30:00', '2004-08-01 07:45:00',
               '2004-08-01 08:00:00', '2004-08-10 20:30:00',
               '2004-08-10 20:45:00', '2004-08-10 21:00:00',
               '2004-08-10 21:15:00', '2004-08-24 18:15:00',
               '2004-08-24 18:30:00', '2004-08-24 18:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               ...
               '2004-08-27 06:30:00', '2004-08-27 06:45:00',
               '2004-08-27 07:00:00', '2004-08-27 07:15:00',
               '2004-08-27 07:30:00', '2004-08-27 07:45:00',
               '2004-08-27 08:00:00', '2004-08-27 19:00:00',
               '2004-08-27 19:15:00', '2004-08-27 19:30:00'],
              dtype='datetime64[ns]', length=134, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               '2004-08-01 02:30:00', '2004-08-01 02:45:00',
               '2004-08-01 03:00:00', '2004-08-01 03:15:00',
               '2004-08-01 03:30:00', '2004-08-01 03:45:00',
               '2004-08-01 04:00:00', '2004-08-01 04:15:00',
               '2004-08-01 04:30:00', '2004-08-01 04:45:00',
               '2004-08-01 05:00:00', '2004-08-01 05:15:00',
               '2004-08-01 05:30:00', '2004-08-01 05:45:00',
               '2004-08-01 06:00:00', '2004-08-01 06:15:00',
               '2004-08-01 06:30:00', '2004-08-01 06:45:00',
               '2004-08-01 07:00:00', '2004-08-01 07:15:00',
               '2004-08-01 07:30:00', '2004-08-01 07:45:00',
               '2004-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               ...
               '2004-08-31 20:45:00', '2004-08-31 21:00:00',
               '2004-08-31 21:15:00', '2004-08-31 21:30:00',
               '2004-08-31 21:45:00', '2004-08-31 22:00:00',
               '2004-08-31 22:15:00', '2004-08-31 22:30:00',
               '2004-08-31 22:45:00', '2004-08-31 23:00:00'],
              dtype='datetime64[ns]', length=1448, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               '2004-08-01 02:30:00', '2004-08-01 02:45:00',
               '2004-08-01 03:00:00', '2004-08-01 03:15:00',
               '2004-08-01 03:30:00', '2004-08-01 03:45:00',
               '2004-08-01 04:00:00', '2004-08-01 04:15:00',
               '2004-08-01 04:30:00', '2004-08-01 04:45:00',
               '2004-08-01 05:00:00', '2004-08-01 05:15:00',
               '2004-08-01 05:30:00', '2004-08-01 05:45:00',
               '2004-08-01 06:00:00', '2004-08-01 06:15:00',
               '2004-08-01 06:30:00', '2004-08-01 06:45:00',
               '2004-08-01 07:00:00', '2004-08-01 07:15:00',
               '2004-08-01 07:30:00', '2004-08-01 07:45:00',
               '2004-08-01 08:00:00', '2004-08-19 00:00:00',
               '2004-08-19 00:15:00', '2004-08-19 00:30:00',
               '2004-08-19 00:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               '2004-08-01 02:30:00', '2004-08-01 02:45:00',
               '2004-08-01 03:00:00', '2004-08-01 03:15:00',
               '2004-08-01 03:30:00', '2004-08-01 03:45:00',
               '2004-08-01 04:00:00', '2004-08-01 04:15:00',
               '2004-08-01 04:30:00', '2004-08-01 04:45:00',
               '2004-08-01 05:00:00', '2004-08-01 05:15:00',
               '2004-08-01 05:30:00', '2004-08-01 05:45:00',
               '2004-08-01 06:00:00', '2004-08-01 06:15:00',
               '2004-08-01 06:30:00', '2004-08-01 06:45:00',
               '2004-08-01 07:00:00', '2004-08-01 07:15:00',
               '2004-08-01 07:30:00', '2004-08-01 07:45:00',
               '2004-08-01 08:00:00', '2004-08-20 03:30:00',
               '2004-08-20 03:45:00', '2004-08-20 04:00:00',
               '2004-08-20 04:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               '2004-08-01 02:30:00', '2004-08-01 02:45:00',
               '2004-08-01 03:00:00', '2004-08-01 03:15:00',
               '2004-08-01 03:30:00', '2004-08-01 03:45:00',
               '2004-08-01 04:00:00', '2004-08-01 04:15:00',
               '2004-08-01 04:30:00', '2004-08-01 04:45:00',
               '2004-08-01 05:00:00', '2004-08-01 05:15:00',
               '2004-08-01 05:30:00', '2004-08-01 05:45:00',
               '2004-08-01 06:00:00', '2004-08-01 06:15:00',
               '2004-08-01 06:30:00', '2004-08-01 06:45:00',
               '2004-08-01 07:00:00', '2004-08-01 07:15:00',
               '2004-08-01 07:30:00', '2004-08-01 07:45:00',
               '2004-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               '2004-08-01 02:30:00', '2004-08-01 02:45:00',
               '2004-08-01 03:00:00', '2004-08-01 03:15:00',
               '2004-08-01 03:30:00', '2004-08-01 03:45:00',
               '2004-08-01 04:00:00', '2004-08-01 04:15:00',
               '2004-08-01 04:30:00', '2004-08-01 04:45:00',
               '2004-08-01 05:00:00', '2004-08-01 05:15:00',
               '2004-08-01 05:30:00', '2004-08-01 05:45:00',
               '2004-08-01 06:00:00', '2004-08-01 06:15:00',
               '2004-08-01 06:30:00', '2004-08-01 06:45:00',
               '2004-08-01 07:00:00', '2004-08-01 07:15:00',
               '2004-08-01 07:30:00', '2004-08-01 07:45:00',
               '2004-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-08-01 00:00:00', '2004-08-01 00:15:00',
               '2004-08-01 00:30:00', '2004-08-01 00:45:00',
               '2004-08-01 01:00:00', '2004-08-01 01:15:00',
               '2004-08-01 01:30:00', '2004-08-01 01:45:00',
               '2004-08-01 02:00:00', '2004-08-01 02:15:00',
               '2004-08-01 02:30:00', '2004-08-01 02:45:00',
               '2004-08-01 03:00:00', '2004-08-01 03:15:00',
               '2004-08-01 03:30:00', '2004-08-01 03:45:00',
               '2004-08-01 04:00:00', '2004-08-01 04:15:00',
               '2004-08-01 04:30:00', '2004-08-01 04:45:00',
               '2004-08-01 05:00:00', '2004-08-01 05:15:00',
               '2004-08-01 05:30:00', '2004-08-01 05:45:00',
               '2004-08-01 06:00:00', '2004-08-01 06:15:00',
               '2004-08-01 06:30:00', '2004-08-01 06:45:00',
               '2004-08-01 07:00:00', '2004-08-01 07:15:00',
               '2004-08-01 07:30:00', '2004-08-01 07:45:00',
               '2004-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-8-1T00 to 2004-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-8-1T00 to 2004-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               ...
               '2004-09-10 05:30:00', '2004-09-10 05:45:00',
               '2004-09-10 06:00:00', '2004-09-10 06:15:00',
               '2004-09-10 06:30:00', '2004-09-10 06:45:00',
               '2004-09-10 07:00:00', '2004-09-10 07:15:00',
               '2004-09-10 07:30:00', '2004-09-10 07:45:00'],
              dtype='datetime64[ns]', length=896, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-10 17:30:00', '2004-09-10 17:45:00',
               '2004-09-10 18:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-09-01 00:00:00', '2004-09-01 00:15:00',
               '2004-09-01 00:30:00', '2004-09-01 00:45:00',
               '2004-09-01 01:00:00', '2004-09-01 01:15:00',
               '2004-09-01 01:30:00', '2004-09-01 01:45:00',
               '2004-09-01 02:00:00', '2004-09-01 02:15:00',
               '2004-09-01 02:30:00', '2004-09-01 02:45:00',
               '2004-09-01 03:00:00', '2004-09-01 03:15:00',
               '2004-09-01 03:30:00', '2004-09-01 03:45:00',
               '2004-09-01 04:00:00', '2004-09-01 04:15:00',
               '2004-09-01 04:30:00', '2004-09-01 04:45:00',
               '2004-09-01 05:00:00', '2004-09-01 05:15:00',
               '2004-09-01 05:30:00', '2004-09-01 05:45:00',
               '2004-09-01 06:00:00', '2004-09-01 06:15:00',
               '2004-09-01 06:30:00', '2004-09-01 06:45:00',
               '2004-09-01 07:00:00', '2004-09-01 07:15:00',
               '2004-09-01 07:30:00', '2004-09-01 07:45:00',
               '2004-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-9-1T00 to 2004-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-9-1T00 to 2004-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               '2004-10-01 02:30:00', '2004-10-01 02:45:00',
               '2004-10-01 03:00:00', '2004-10-01 03:15:00',
               '2004-10-01 03:30:00', '2004-10-01 03:45:00',
               '2004-10-01 04:00:00', '2004-10-01 04:15:00',
               '2004-10-01 04:30:00', '2004-10-01 04:45:00',
               '2004-10-01 05:00:00', '2004-10-01 05:15:00',
               '2004-10-01 05:30:00', '2004-10-01 05:45:00',
               '2004-10-01 06:00:00', '2004-10-01 06:15:00',
               '2004-10-01 06:30:00', '2004-10-01 06:45:00',
               '2004-10-01 07:00:00', '2004-10-01 07:15:00',
               '2004-10-01 07:30:00', '2004-10-01 07:45:00',
               '2004-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               '2004-10-01 02:30:00', '2004-10-01 02:45:00',
               '2004-10-01 03:00:00', '2004-10-01 03:15:00',
               '2004-10-01 03:30:00', '2004-10-01 03:45:00',
               '2004-10-01 04:00:00', '2004-10-01 04:15:00',
               '2004-10-01 04:30:00', '2004-10-01 04:45:00',
               '2004-10-01 05:00:00', '2004-10-01 05:15:00',
               '2004-10-01 05:30:00', '2004-10-01 05:45:00',
               '2004-10-01 06:00:00', '2004-10-01 06:15:00',
               '2004-10-01 06:30:00', '2004-10-01 06:45:00',
               '2004-10-01 07:00:00', '2004-10-01 07:15:00',
               '2004-10-01 07:30:00', '2004-10-01 07:45:00',
               '2004-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               '2004-10-01 02:30:00', '2004-10-01 02:45:00',
               '2004-10-01 03:00:00', '2004-10-01 03:15:00',
               '2004-10-01 03:30:00', '2004-10-01 03:45:00',
               '2004-10-01 04:00:00', '2004-10-01 04:15:00',
               '2004-10-01 04:30:00', '2004-10-01 04:45:00',
               '2004-10-01 05:00:00', '2004-10-01 05:15:00',
               '2004-10-01 05:30:00', '2004-10-01 05:45:00',
               '2004-10-01 06:00:00', '2004-10-01 06:15:00',
               '2004-10-01 06:30:00', '2004-10-01 06:45:00',
               '2004-10-01 07:00:00', '2004-10-01 07:15:00',
               '2004-10-01 07:30:00', '2004-10-01 07:45:00',
               '2004-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               ...
               '2004-10-31 20:45:00', '2004-10-31 21:00:00',
               '2004-10-31 21:15:00', '2004-10-31 21:30:00',
               '2004-10-31 21:45:00', '2004-10-31 22:00:00',
               '2004-10-31 22:15:00', '2004-10-31 22:30:00',
               '2004-10-31 22:45:00', '2004-10-31 23:00:00'],
              dtype='datetime64[ns]', length=193, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               '2004-10-01 02:30:00', '2004-10-01 02:45:00',
               '2004-10-01 03:00:00', '2004-10-01 03:15:00',
               '2004-10-01 03:30:00', '2004-10-01 03:45:00',
               '2004-10-01 04:00:00', '2004-10-01 04:15:00',
               '2004-10-01 04:30:00', '2004-10-01 04:45:00',
               '2004-10-01 05:00:00', '2004-10-01 05:15:00',
               '2004-10-01 05:30:00', '2004-10-01 05:45:00',
               '2004-10-01 06:00:00', '2004-10-01 06:15:00',
               '2004-10-01 06:30:00', '2004-10-01 06:45:00',
               '2004-10-01 07:00:00', '2004-10-01 07:15:00',
               '2004-10-01 07:30:00', '2004-10-01 07:45:00',
               '2004-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               ...
               '2004-10-29 05:45:00', '2004-10-29 06:00:00',
               '2004-10-29 06:15:00', '2004-10-29 06:30:00',
               '2004-10-29 06:45:00', '2004-10-29 07:00:00',
               '2004-10-29 07:15:00', '2004-10-29 07:30:00',
               '2004-10-29 07:45:00', '2004-10-29 08:00:00'],
              dtype='datetime64[ns]', length=325, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               '2004-10-01 02:30:00', '2004-10-01 02:45:00',
               '2004-10-01 03:00:00', '2004-10-01 03:15:00',
               '2004-10-01 03:30:00', '2004-10-01 03:45:00',
               '2004-10-01 04:00:00', '2004-10-01 04:15:00',
               '2004-10-01 04:30:00', '2004-10-01 04:45:00',
               '2004-10-01 05:00:00', '2004-10-01 05:15:00',
               '2004-10-01 05:30:00', '2004-10-01 05:45:00',
               '2004-10-01 06:00:00', '2004-10-01 06:15:00',
               '2004-10-01 06:30:00', '2004-10-01 06:45:00',
               '2004-10-01 07:00:00', '2004-10-01 07:15:00',
               '2004-10-01 07:30:00', '2004-10-01 07:45:00',
               '2004-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-10-03 08:00:00', '2004-10-03 08:15:00',
               '2004-10-03 08:30:00', '2004-10-03 08:45:00',
               '2004-10-03 09:00:00', '2004-10-03 09:15:00',
               '2004-10-03 09:30:00', '2004-10-03 09:45:00',
               '2004-10-03 10:00:00', '2004-10-03 10:15:00',
               ...
               '2004-10-31 20:45:00', '2004-10-31 21:00:00',
               '2004-10-31 21:15:00', '2004-10-31 21:30:00',
               '2004-10-31 21:45:00', '2004-10-31 22:00:00',
               '2004-10-31 22:15:00', '2004-10-31 22:30:00',
               '2004-10-31 22:45:00', '2004-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2749, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               '2004-10-01 02:30:00', '2004-10-01 02:45:00',
               '2004-10-01 03:00:00', '2004-10-01 03:15:00',
               '2004-10-01 03:30:00', '2004-10-01 03:45:00',
               '2004-10-01 04:00:00', '2004-10-01 04:15:00',
               '2004-10-01 04:30:00', '2004-10-01 04:45:00',
               '2004-10-01 05:00:00', '2004-10-01 05:15:00',
               '2004-10-01 05:30:00', '2004-10-01 05:45:00',
               '2004-10-01 06:00:00', '2004-10-01 06:15:00',
               '2004-10-01 06:30:00', '2004-10-01 06:45:00',
               '2004-10-01 07:00:00', '2004-10-01 07:15:00',
               '2004-10-01 07:30:00', '2004-10-01 07:45:00',
               '2004-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-10-02 08:00:00', '2004-10-02 08:15:00',
               '2004-10-02 08:30:00', '2004-10-02 08:45:00',
               '2004-10-02 09:00:00', '2004-10-02 09:15:00',
               '2004-10-02 09:30:00', '2004-10-02 09:45:00',
               '2004-10-02 10:00:00', '2004-10-02 10:15:00',
               ...
               '2004-10-31 20:45:00', '2004-10-31 21:00:00',
               '2004-10-31 21:15:00', '2004-10-31 21:30:00',
               '2004-10-31 21:45:00', '2004-10-31 22:00:00',
               '2004-10-31 22:15:00', '2004-10-31 22:30:00',
               '2004-10-31 22:45:00', '2004-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2845, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-10-01 00:00:00', '2004-10-01 00:15:00',
               '2004-10-01 00:30:00', '2004-10-01 00:45:00',
               '2004-10-01 01:00:00', '2004-10-01 01:15:00',
               '2004-10-01 01:30:00', '2004-10-01 01:45:00',
               '2004-10-01 02:00:00', '2004-10-01 02:15:00',
               '2004-10-01 02:30:00', '2004-10-01 02:45:00',
               '2004-10-01 03:00:00', '2004-10-01 03:15:00',
               '2004-10-01 03:30:00', '2004-10-01 03:45:00',
               '2004-10-01 04:00:00', '2004-10-01 04:15:00',
               '2004-10-01 04:30:00', '2004-10-01 04:45:00',
               '2004-10-01 05:00:00', '2004-10-01 05:15:00',
               '2004-10-01 05:30:00', '2004-10-01 05:45:00',
               '2004-10-01 06:00:00', '2004-10-01 06:15:00',
               '2004-10-01 06:30:00', '2004-10-01 06:45:00',
               '2004-10-01 07:00:00', '2004-10-01 07:15:00',
               '2004-10-01 07:30:00', '2004-10-01 07:45:00',
               '2004-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-10-1T00 to 2004-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-10-1T00 to 2004-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-11-02 09:00:00', '2004-11-02 09:15:00',
               '2004-11-02 09:30:00', '2004-11-02 09:45:00',
               '2004-11-02 10:00:00', '2004-11-02 10:15:00',
               '2004-11-02 10:30:00', '2004-11-02 10:45:00',
               '2004-11-02 11:00:00', '2004-11-02 11:15:00',
               ...
               '2004-11-12 06:30:00', '2004-11-12 06:45:00',
               '2004-11-12 07:00:00', '2004-11-12 07:15:00',
               '2004-11-12 07:30:00', '2004-11-12 07:45:00',
               '2004-11-12 08:00:00', '2004-11-12 08:15:00',
               '2004-11-12 08:30:00', '2004-11-12 08:45:00'],
              dtype='datetime64[ns]', length=960, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-11-01 00:00:00', '2004-11-01 00:15:00',
               '2004-11-01 00:30:00', '2004-11-01 00:45:00',
               '2004-11-01 01:00:00', '2004-11-01 01:15:00',
               '2004-11-01 01:30:00', '2004-11-01 01:45:00',
               '2004-11-01 02:00:00', '2004-11-01 02:15:00',
               '2004-11-01 02:30:00', '2004-11-01 02:45:00',
               '2004-11-01 03:00:00', '2004-11-01 03:15:00',
               '2004-11-01 03:30:00', '2004-11-01 03:45:00',
               '2004-11-01 04:00:00', '2004-11-01 04:15:00',
               '2004-11-01 04:30:00', '2004-11-01 04:45:00',
               '2004-11-01 05:00:00', '2004-11-01 05:15:00',
               '2004-11-01 05:30:00', '2004-11-01 05:45:00',
               '2004-11-01 06:00:00', '2004-11-01 06:15:00',
               '2004-11-01 06:30:00', '2004-11-01 06:45:00',
               '2004-11-01 07:00:00', '2004-11-01 07:15:00',
               '2004-11-01 07:30:00', '2004-11-01 07:45:00',
               '2004-11-01 08:00:00', '2004-11-01 08:15:00',
               '2004-11-01 08:30:00', '2004-11-01 08:45:00',
               '2004-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-11-03 09:00:00', '2004-11-03 09:15:00',
               '2004-11-03 09:30:00', '2004-11-03 09:45:00',
               '2004-11-03 10:00:00', '2004-11-03 10:15:00',
               '2004-11-03 10:30:00', '2004-11-03 10:45:00',
               '2004-11-03 11:00:00', '2004-11-03 11:15:00',
               ...
               '2004-11-13 06:30:00', '2004-11-13 06:45:00',
               '2004-11-13 07:00:00', '2004-11-13 07:15:00',
               '2004-11-13 07:30:00', '2004-11-13 07:45:00',
               '2004-11-13 08:00:00', '2004-11-13 08:15:00',
               '2004-11-13 08:30:00', '2004-11-13 08:45:00'],
              dtype='datetime64[ns]', length=960, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-11-01 00:00:00', '2004-11-01 00:15:00',
               '2004-11-01 00:30:00', '2004-11-01 00:45:00',
               '2004-11-01 01:00:00', '2004-11-01 01:15:00',
               '2004-11-01 01:30:00', '2004-11-01 01:45:00',
               '2004-11-01 02:00:00', '2004-11-01 02:15:00',
               '2004-11-01 02:30:00', '2004-11-01 02:45:00',
               '2004-11-01 03:00:00', '2004-11-01 03:15:00',
               '2004-11-01 03:30:00', '2004-11-01 03:45:00',
               '2004-11-01 04:00:00', '2004-11-01 04:15:00',
               '2004-11-01 04:30:00', '2004-11-01 04:45:00',
               '2004-11-01 05:00:00', '2004-11-01 05:15:00',
               '2004-11-01 05:30:00', '2004-11-01 05:45:00',
               '2004-11-01 06:00:00', '2004-11-01 06:15:00',
               '2004-11-01 06:30:00', '2004-11-01 06:45:00',
               '2004-11-01 07:00:00', '2004-11-01 07:15:00',
               '2004-11-01 07:30:00', '2004-11-01 07:45:00',
               '2004-11-01 08:00:00', '2004-11-01 08:15:00',
               '2004-11-01 08:30:00', '2004-11-01 08:45:00',
               '2004-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-11-01 00:00:00', '2004-11-01 00:15:00',
               '2004-11-01 00:30:00', '2004-11-01 00:45:00',
               '2004-11-01 01:00:00', '2004-11-01 01:15:00',
               '2004-11-01 01:30:00', '2004-11-01 01:45:00',
               '2004-11-01 02:00:00', '2004-11-01 02:15:00',
               '2004-11-01 02:30:00', '2004-11-01 02:45:00',
               '2004-11-01 03:00:00', '2004-11-01 03:15:00',
               '2004-11-01 03:30:00', '2004-11-01 03:45:00',
               '2004-11-01 04:00:00', '2004-11-01 04:15:00',
               '2004-11-01 04:30:00', '2004-11-01 04:45:00',
               '2004-11-01 05:00:00', '2004-11-01 05:15:00',
               '2004-11-01 05:30:00', '2004-11-01 05:45:00',
               '2004-11-01 06:00:00', '2004-11-01 06:15:00',
               '2004-11-01 06:30:00', '2004-11-01 06:45:00',
               '2004-11-01 07:00:00', '2004-11-01 07:15:00',
               '2004-11-01 07:30:00', '2004-11-01 07:45:00',
               '2004-11-01 08:00:00', '2004-11-01 08:15:00',
               '2004-11-01 08:30:00', '2004-11-01 08:45:00',
               '2004-11-01 09:00:00', '2004-11-08 05:45:00',
               '2004-11-08 06:00:00', '2004-11-08 06:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-11-01 00:00:00', '2004-11-01 00:15:00',
               '2004-11-01 00:30:00', '2004-11-01 00:45:00',
               '2004-11-01 01:00:00', '2004-11-01 01:15:00',
               '2004-11-01 01:30:00', '2004-11-01 01:45:00',
               '2004-11-01 02:00:00', '2004-11-01 02:15:00',
               '2004-11-01 02:30:00', '2004-11-01 02:45:00',
               '2004-11-01 03:00:00', '2004-11-01 03:15:00',
               '2004-11-01 03:30:00', '2004-11-01 03:45:00',
               '2004-11-01 04:00:00', '2004-11-01 04:15:00',
               '2004-11-01 04:30:00', '2004-11-01 04:45:00',
               '2004-11-01 05:00:00', '2004-11-01 05:15:00',
               '2004-11-01 05:30:00', '2004-11-01 05:45:00',
               '2004-11-01 06:00:00', '2004-11-01 06:15:00',
               '2004-11-01 06:30:00', '2004-11-01 06:45:00',
               '2004-11-01 07:00:00', '2004-11-01 07:15:00',
               '2004-11-01 07:30:00', '2004-11-01 07:45:00',
               '2004-11-01 08:00:00', '2004-11-01 08:15:00',
               '2004-11-01 08:30:00', '2004-11-01 08:45:00',
               '2004-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-11-03 09:00:00', '2004-11-03 09:15:00',
               '2004-11-03 09:30:00', '2004-11-03 09:45:00',
               '2004-11-03 10:00:00', '2004-11-03 10:15:00',
               '2004-11-03 10:30:00', '2004-11-03 10:45:00',
               '2004-11-03 11:00:00', '2004-11-03 11:15:00',
               ...
               '2004-11-26 06:30:00', '2004-11-26 06:45:00',
               '2004-11-26 07:00:00', '2004-11-26 07:15:00',
               '2004-11-26 07:30:00', '2004-11-26 07:45:00',
               '2004-11-26 08:00:00', '2004-11-26 08:15:00',
               '2004-11-26 08:30:00', '2004-11-26 08:45:00'],
              dtype='datetime64[ns]', length=2208, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-11-01 00:00:00', '2004-11-01 00:15:00',
               '2004-11-01 00:30:00', '2004-11-01 00:45:00',
               '2004-11-01 01:00:00', '2004-11-01 01:15:00',
               '2004-11-01 01:30:00', '2004-11-01 01:45:00',
               '2004-11-01 02:00:00', '2004-11-01 02:15:00',
               '2004-11-01 02:30:00', '2004-11-01 02:45:00',
               '2004-11-01 03:00:00', '2004-11-01 03:15:00',
               '2004-11-01 03:30:00', '2004-11-01 03:45:00',
               '2004-11-01 04:00:00', '2004-11-01 04:15:00',
               '2004-11-01 04:30:00', '2004-11-01 04:45:00',
               '2004-11-01 05:00:00', '2004-11-01 05:15:00',
               '2004-11-01 05:30:00', '2004-11-01 05:45:00',
               '2004-11-01 06:00:00', '2004-11-01 06:15:00',
               '2004-11-01 06:30:00', '2004-11-01 06:45:00',
               '2004-11-01 07:00:00', '2004-11-01 07:15:00',
               '2004-11-01 07:30:00', '2004-11-01 07:45:00',
               '2004-11-01 08:00:00', '2004-11-01 08:15:00',
               '2004-11-01 08:30:00', '2004-11-01 08:45:00',
               '2004-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-11-01 00:00:00', '2004-11-01 00:15:00',
               '2004-11-01 00:30:00', '2004-11-01 00:45:00',
               '2004-11-01 01:00:00', '2004-11-01 01:15:00',
               '2004-11-01 01:30:00', '2004-11-01 01:45:00',
               '2004-11-01 02:00:00', '2004-11-01 02:15:00',
               '2004-11-01 02:30:00', '2004-11-01 02:45:00',
               '2004-11-01 03:00:00', '2004-11-01 03:15:00',
               '2004-11-01 03:30:00', '2004-11-01 03:45:00',
               '2004-11-01 04:00:00', '2004-11-01 04:15:00',
               '2004-11-01 04:30:00', '2004-11-01 04:45:00',
               '2004-11-01 05:00:00', '2004-11-01 05:15:00',
               '2004-11-01 05:30:00', '2004-11-01 05:45:00',
               '2004-11-01 06:00:00', '2004-11-01 06:15:00',
               '2004-11-01 06:30:00', '2004-11-01 06:45:00',
               '2004-11-01 07:00:00', '2004-11-01 07:15:00',
               '2004-11-01 07:30:00', '2004-11-01 07:45:00',
               '2004-11-01 08:00:00', '2004-11-01 08:15:00',
               '2004-11-01 08:30:00', '2004-11-01 08:45:00',
               '2004-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-11-1T00 to 2004-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-11-1T00 to 2004-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-12-04 09:00:00', '2004-12-04 09:15:00',
               '2004-12-04 09:30:00', '2004-12-04 09:45:00',
               '2004-12-04 10:00:00', '2004-12-04 10:15:00',
               '2004-12-04 10:30:00', '2004-12-04 10:45:00',
               '2004-12-04 11:00:00', '2004-12-04 11:15:00',
               ...
               '2004-12-31 20:45:00', '2004-12-31 21:00:00',
               '2004-12-31 21:15:00', '2004-12-31 21:30:00',
               '2004-12-31 21:45:00', '2004-12-31 22:00:00',
               '2004-12-31 22:15:00', '2004-12-31 22:30:00',
               '2004-12-31 22:45:00', '2004-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2649, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-12-01 00:00:00', '2004-12-01 00:15:00',
               '2004-12-01 00:30:00', '2004-12-01 00:45:00',
               '2004-12-01 01:00:00', '2004-12-01 01:15:00',
               '2004-12-01 01:30:00', '2004-12-01 01:45:00',
               '2004-12-01 02:00:00', '2004-12-01 02:15:00',
               '2004-12-01 02:30:00', '2004-12-01 02:45:00',
               '2004-12-01 03:00:00', '2004-12-01 03:15:00',
               '2004-12-01 03:30:00', '2004-12-01 03:45:00',
               '2004-12-01 04:00:00', '2004-12-01 04:15:00',
               '2004-12-01 04:30:00', '2004-12-01 04:45:00',
               '2004-12-01 05:00:00', '2004-12-01 05:15:00',
               '2004-12-01 05:30:00', '2004-12-01 05:45:00',
               '2004-12-01 06:00:00', '2004-12-01 06:15:00',
               '2004-12-01 06:30:00', '2004-12-01 06:45:00',
               '2004-12-01 07:00:00', '2004-12-01 07:15:00',
               '2004-12-01 07:30:00', '2004-12-01 07:45:00',
               '2004-12-01 08:00:00', '2004-12-01 08:15:00',
               '2004-12-01 08:30:00', '2004-12-01 08:45:00',
               '2004-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-12-04 09:00:00', '2004-12-04 09:15:00',
               '2004-12-04 09:30:00', '2004-12-04 09:45:00',
               '2004-12-04 10:00:00', '2004-12-04 10:15:00',
               '2004-12-04 10:30:00', '2004-12-04 10:45:00',
               '2004-12-04 11:00:00', '2004-12-04 11:15:00',
               ...
               '2004-12-16 06:30:00', '2004-12-16 06:45:00',
               '2004-12-16 07:00:00', '2004-12-16 07:15:00',
               '2004-12-16 07:30:00', '2004-12-16 07:45:00',
               '2004-12-16 08:00:00', '2004-12-16 08:15:00',
               '2004-12-16 08:30:00', '2004-12-16 08:45:00'],
              dtype='datetime64[ns]', length=1152, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-12-01 00:00:00', '2004-12-01 00:15:00',
               '2004-12-01 00:30:00', '2004-12-01 00:45:00',
               '2004-12-01 01:00:00', '2004-12-01 01:15:00',
               '2004-12-01 01:30:00', '2004-12-01 01:45:00',
               '2004-12-01 02:00:00', '2004-12-01 02:15:00',
               ...
               '2004-12-31 20:45:00', '2004-12-31 21:00:00',
               '2004-12-31 21:15:00', '2004-12-31 21:30:00',
               '2004-12-31 21:45:00', '2004-12-31 22:00:00',
               '2004-12-31 22:15:00', '2004-12-31 22:30:00',
               '2004-12-31 22:45:00', '2004-12-31 23:00:00'],
              dtype='datetime64[ns]', length=767, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-12-01 00:00:00', '2004-12-01 00:15:00',
               '2004-12-01 00:30:00', '2004-12-01 00:45:00',
               '2004-12-01 01:00:00', '2004-12-01 01:15:00',
               '2004-12-01 01:30:00', '2004-12-01 01:45:00',
               '2004-12-01 02:00:00', '2004-12-01 02:15:00',
               ...
               '2004-12-31 20:45:00', '2004-12-31 21:00:00',
               '2004-12-31 21:15:00', '2004-12-31 21:30:00',
               '2004-12-31 21:45:00', '2004-12-31 22:00:00',
               '2004-12-31 22:15:00', '2004-12-31 22:30:00',
               '2004-12-31 22:45:00', '2004-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1153, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-12-01 00:00:00', '2004-12-01 00:15:00',
               '2004-12-01 00:30:00', '2004-12-01 00:45:00',
               '2004-12-01 01:00:00', '2004-12-01 01:15:00',
               '2004-12-01 01:30:00', '2004-12-01 01:45:00',
               '2004-12-01 02:00:00', '2004-12-01 02:15:00',
               '2004-12-01 02:30:00', '2004-12-01 02:45:00',
               '2004-12-01 03:00:00', '2004-12-01 03:15:00',
               '2004-12-01 03:30:00', '2004-12-01 03:45:00',
               '2004-12-01 04:00:00', '2004-12-01 04:15:00',
               '2004-12-01 04:30:00', '2004-12-01 04:45:00',
               '2004-12-01 05:00:00', '2004-12-01 05:15:00',
               '2004-12-01 05:30:00', '2004-12-01 05:45:00',
               '2004-12-01 06:00:00', '2004-12-01 06:15:00',
               '2004-12-01 06:30:00', '2004-12-01 06:45:00',
               '2004-12-01 07:00:00', '2004-12-01 07:15:00',
               '2004-12-01 07:30:00', '2004-12-01 07:45:00',
               '2004-12-01 08:00:00', '2004-12-01 08:15:00',
               '2004-12-01 08:30:00', '2004-12-01 08:45:00',
               '2004-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-12-04 09:00:00', '2004-12-04 09:15:00',
               '2004-12-04 09:30:00', '2004-12-04 09:45:00',
               '2004-12-04 10:00:00', '2004-12-04 10:15:00',
               '2004-12-04 10:30:00', '2004-12-04 10:45:00',
               '2004-12-04 11:00:00', '2004-12-04 11:15:00',
               ...
               '2004-12-31 20:45:00', '2004-12-31 21:00:00',
               '2004-12-31 21:15:00', '2004-12-31 21:30:00',
               '2004-12-31 21:45:00', '2004-12-31 22:00:00',
               '2004-12-31 22:15:00', '2004-12-31 22:30:00',
               '2004-12-31 22:45:00', '2004-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2649, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-12-01 00:00:00', '2004-12-01 00:15:00',
               '2004-12-01 00:30:00', '2004-12-01 00:45:00',
               '2004-12-01 01:00:00', '2004-12-01 01:15:00',
               '2004-12-01 01:30:00', '2004-12-01 01:45:00',
               '2004-12-01 02:00:00', '2004-12-01 02:15:00',
               ...
               '2004-12-02 06:45:00', '2004-12-02 07:00:00',
               '2004-12-02 07:15:00', '2004-12-02 07:30:00',
               '2004-12-02 07:45:00', '2004-12-02 08:00:00',
               '2004-12-02 08:15:00', '2004-12-02 08:30:00',
               '2004-12-02 08:45:00', '2004-12-02 09:00:00'],
              dtype='datetime64[ns]', length=133, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x158ba6840>.
{L:347} Dates replaced: DatetimeIndex(['2004-12-06 09:00:00', '2004-12-06 09:15:00',
               '2004-12-06 09:30:00', '2004-12-06 09:45:00',
               '2004-12-06 10:00:00', '2004-12-06 10:15:00',
               '2004-12-06 10:30:00', '2004-12-06 10:45:00',
               '2004-12-06 11:00:00', '2004-12-06 11:15:00',
               ...
               '2004-12-31 20:45:00', '2004-12-31 21:00:00',
               '2004-12-31 21:15:00', '2004-12-31 21:30:00',
               '2004-12-31 21:45:00', '2004-12-31 22:00:00',
               '2004-12-31 22:15:00', '2004-12-31 22:30:00',
               '2004-12-31 22:45:00', '2004-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2457, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2004-12-01 00:00:00', '2004-12-01 00:15:00',
               '2004-12-01 00:30:00', '2004-12-01 00:45:00',
               '2004-12-01 01:00:00', '2004-12-01 01:15:00',
               '2004-12-01 01:30:00', '2004-12-01 01:45:00',
               '2004-12-01 02:00:00', '2004-12-01 02:15:00',
               '2004-12-01 02:30:00', '2004-12-01 02:45:00',
               '2004-12-01 03:00:00', '2004-12-01 03:15:00',
               '2004-12-01 03:30:00', '2004-12-01 03:45:00',
               '2004-12-01 04:00:00', '2004-12-01 04:15:00',
               '2004-12-01 04:30:00', '2004-12-01 04:45:00',
               '2004-12-01 05:00:00', '2004-12-01 05:15:00',
               '2004-12-01 05:30:00', '2004-12-01 05:45:00',
               '2004-12-01 06:00:00', '2004-12-01 06:15:00',
               '2004-12-01 06:30:00', '2004-12-01 06:45:00',
               '2004-12-01 07:00:00', '2004-12-01 07:15:00',
               '2004-12-01 07:30:00', '2004-12-01 07:45:00',
               '2004-12-01 08:00:00', '2004-12-01 08:15:00',
               '2004-12-01 08:30:00', '2004-12-01 08:45:00',
               '2004-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2004-12-1T00 to 2004-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2004-12-1T00 to 2004-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2005

year = 2005
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-01-03 09:00:00', '2005-01-03 09:15:00',
               '2005-01-03 09:30:00', '2005-01-03 09:45:00',
               '2005-01-03 10:00:00', '2005-01-03 10:15:00',
               '2005-01-03 10:30:00', '2005-01-03 10:45:00',
               '2005-01-03 11:00:00', '2005-01-03 11:15:00',
               ...
               '2005-01-17 06:30:00', '2005-01-17 06:45:00',
               '2005-01-17 07:00:00', '2005-01-17 07:15:00',
               '2005-01-17 07:30:00', '2005-01-17 07:45:00',
               '2005-01-17 08:00:00', '2005-01-17 08:15:00',
               '2005-01-17 08:30:00', '2005-01-17 08:45:00'],
              dtype='datetime64[ns]', length=1344, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-01-01 00:00:00', '2005-01-01 00:15:00',
               '2005-01-01 00:30:00', '2005-01-01 00:45:00',
               '2005-01-01 01:00:00', '2005-01-01 01:15:00',
               '2005-01-01 01:30:00', '2005-01-01 01:45:00',
               '2005-01-01 02:00:00', '2005-01-01 02:15:00',
               ...
               '2005-01-30 06:45:00', '2005-01-30 07:00:00',
               '2005-01-30 07:15:00', '2005-01-30 07:30:00',
               '2005-01-30 07:45:00', '2005-01-30 08:00:00',
               '2005-01-30 08:15:00', '2005-01-30 08:30:00',
               '2005-01-30 08:45:00', '2005-01-30 09:00:00'],
              dtype='datetime64[ns]', length=423, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-01-01 00:00:00', '2005-01-01 00:15:00',
               '2005-01-01 00:30:00', '2005-01-01 00:45:00',
               '2005-01-01 01:00:00', '2005-01-01 01:15:00',
               '2005-01-01 01:30:00', '2005-01-01 01:45:00',
               '2005-01-01 02:00:00', '2005-01-01 02:15:00',
               '2005-01-01 02:30:00', '2005-01-01 02:45:00',
               '2005-01-01 03:00:00', '2005-01-01 03:15:00',
               '2005-01-01 03:30:00', '2005-01-01 03:45:00',
               '2005-01-01 04:00:00', '2005-01-01 04:15:00',
               '2005-01-01 04:30:00', '2005-01-01 04:45:00',
               '2005-01-01 05:00:00', '2005-01-01 05:15:00',
               '2005-01-01 05:30:00', '2005-01-01 05:45:00',
               '2005-01-01 06:00:00', '2005-01-01 06:15:00',
               '2005-01-01 06:30:00', '2005-01-01 06:45:00',
               '2005-01-01 07:00:00', '2005-01-01 07:15:00',
               '2005-01-01 07:30:00', '2005-01-01 07:45:00',
               '2005-01-01 08:00:00', '2005-01-01 08:15:00',
               '2005-01-01 08:30:00', '2005-01-01 08:45:00',
               '2005-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-01-07 09:00:00', '2005-01-07 09:15:00',
               '2005-01-07 09:30:00', '2005-01-07 09:45:00',
               '2005-01-07 10:00:00', '2005-01-07 10:15:00',
               '2005-01-07 10:30:00', '2005-01-07 10:45:00',
               '2005-01-07 11:00:00', '2005-01-07 11:15:00',
               ...
               '2005-01-24 06:30:00', '2005-01-24 06:45:00',
               '2005-01-24 07:00:00', '2005-01-24 07:15:00',
               '2005-01-24 07:30:00', '2005-01-24 07:45:00',
               '2005-01-24 08:00:00', '2005-01-24 08:15:00',
               '2005-01-24 08:30:00', '2005-01-24 08:45:00'],
              dtype='datetime64[ns]', length=1632, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-01-01 00:00:00', '2005-01-01 00:15:00',
               '2005-01-01 00:30:00', '2005-01-01 00:45:00',
               '2005-01-01 01:00:00', '2005-01-01 01:15:00',
               '2005-01-01 01:30:00', '2005-01-01 01:45:00',
               '2005-01-01 02:00:00', '2005-01-01 02:15:00',
               ...
               '2005-01-31 20:45:00', '2005-01-31 21:00:00',
               '2005-01-31 21:15:00', '2005-01-31 21:30:00',
               '2005-01-31 21:45:00', '2005-01-31 22:00:00',
               '2005-01-31 22:15:00', '2005-01-31 22:30:00',
               '2005-01-31 22:45:00', '2005-01-31 23:00:00'],
              dtype='datetime64[ns]', length=575, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-1-1T00 to 2005-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-1-1T00 to 2005-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-02-01 00:00:00', '2005-02-01 00:15:00',
               '2005-02-01 00:30:00', '2005-02-01 00:45:00',
               '2005-02-01 01:00:00', '2005-02-01 01:15:00',
               '2005-02-01 01:30:00', '2005-02-01 01:45:00',
               '2005-02-01 02:00:00', '2005-02-01 02:15:00',
               ...
               '2005-02-19 06:30:00', '2005-02-19 06:45:00',
               '2005-02-19 07:00:00', '2005-02-19 07:15:00',
               '2005-02-19 07:30:00', '2005-02-19 07:45:00',
               '2005-02-19 08:00:00', '2005-02-19 08:15:00',
               '2005-02-19 08:30:00', '2005-02-19 08:45:00'],
              dtype='datetime64[ns]', length=1764, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-02-02 09:00:00', '2005-02-02 09:15:00',
               '2005-02-02 09:30:00', '2005-02-02 09:45:00',
               '2005-02-02 10:00:00', '2005-02-02 10:15:00',
               '2005-02-02 10:30:00', '2005-02-02 10:45:00',
               '2005-02-02 11:00:00', '2005-02-02 11:15:00',
               ...
               '2005-02-11 06:30:00', '2005-02-11 06:45:00',
               '2005-02-11 07:00:00', '2005-02-11 07:15:00',
               '2005-02-11 07:30:00', '2005-02-11 07:45:00',
               '2005-02-11 08:00:00', '2005-02-11 08:15:00',
               '2005-02-11 08:30:00', '2005-02-11 08:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-02-01 00:00:00', '2005-02-01 00:15:00',
               '2005-02-01 00:30:00', '2005-02-01 00:45:00',
               '2005-02-01 01:00:00', '2005-02-01 01:15:00',
               '2005-02-01 01:30:00', '2005-02-01 01:45:00',
               '2005-02-01 02:00:00', '2005-02-01 02:15:00',
               '2005-02-01 02:30:00', '2005-02-01 02:45:00',
               '2005-02-01 03:00:00', '2005-02-01 03:15:00',
               '2005-02-01 03:30:00', '2005-02-01 03:45:00',
               '2005-02-01 04:00:00', '2005-02-01 04:15:00',
               '2005-02-01 04:30:00', '2005-02-01 04:45:00',
               '2005-02-01 05:00:00', '2005-02-01 05:15:00',
               '2005-02-01 05:30:00', '2005-02-01 05:45:00',
               '2005-02-01 06:00:00', '2005-02-01 06:15:00',
               '2005-02-01 06:30:00', '2005-02-01 06:45:00',
               '2005-02-01 07:00:00', '2005-02-01 07:15:00',
               '2005-02-01 07:30:00', '2005-02-01 07:45:00',
               '2005-02-01 08:00:00', '2005-02-01 08:15:00',
               '2005-02-01 08:30:00', '2005-02-01 08:45:00',
               '2005-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-02-01 00:00:00', '2005-02-01 00:15:00',
               '2005-02-01 00:30:00', '2005-02-01 00:45:00',
               '2005-02-01 01:00:00', '2005-02-01 01:15:00',
               '2005-02-01 01:30:00', '2005-02-01 01:45:00',
               '2005-02-01 02:00:00', '2005-02-01 02:15:00',
               '2005-02-01 02:30:00', '2005-02-01 02:45:00',
               '2005-02-01 03:00:00', '2005-02-01 03:15:00',
               '2005-02-01 03:30:00', '2005-02-01 03:45:00',
               '2005-02-01 04:00:00', '2005-02-01 04:15:00',
               '2005-02-01 04:30:00', '2005-02-01 04:45:00',
               '2005-02-01 05:00:00', '2005-02-01 05:15:00',
               '2005-02-01 05:30:00', '2005-02-01 05:45:00',
               '2005-02-01 06:00:00', '2005-02-01 06:15:00',
               '2005-02-01 06:30:00', '2005-02-01 06:45:00',
               '2005-02-01 07:00:00', '2005-02-01 07:15:00',
               '2005-02-01 07:30:00', '2005-02-01 07:45:00',
               '2005-02-01 08:00:00', '2005-02-01 08:15:00',
               '2005-02-01 08:30:00', '2005-02-01 08:45:00',
               '2005-02-01 09:00:00', '2005-02-24 20:30:00',
               '2005-02-24 20:45:00', '2005-02-24 21:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-02-01 00:00:00', '2005-02-01 00:15:00',
               '2005-02-01 00:30:00', '2005-02-01 00:45:00',
               '2005-02-01 01:00:00', '2005-02-01 01:15:00',
               '2005-02-01 01:30:00', '2005-02-01 01:45:00',
               '2005-02-01 02:00:00', '2005-02-01 02:15:00',
               ...
               '2005-02-23 06:30:00', '2005-02-23 06:45:00',
               '2005-02-23 07:00:00', '2005-02-23 07:15:00',
               '2005-02-23 07:30:00', '2005-02-23 07:45:00',
               '2005-02-23 08:00:00', '2005-02-23 08:15:00',
               '2005-02-23 08:30:00', '2005-02-23 08:45:00'],
              dtype='datetime64[ns]', length=2148, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-02-27 08:45:00', '2005-02-27 09:00:00',
               '2005-02-27 09:15:00', '2005-02-27 09:30:00',
               '2005-02-27 09:45:00', '2005-02-27 10:00:00',
               '2005-02-27 10:15:00', '2005-02-27 10:30:00',
               '2005-02-27 10:45:00', '2005-02-27 11:00:00',
               ...
               '2005-02-28 20:45:00', '2005-02-28 21:00:00',
               '2005-02-28 21:15:00', '2005-02-28 21:30:00',
               '2005-02-28 21:45:00', '2005-02-28 22:00:00',
               '2005-02-28 22:15:00', '2005-02-28 22:30:00',
               '2005-02-28 22:45:00', '2005-02-28 23:00:00'],
              dtype='datetime64[ns]', length=154, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-2-1T00 to 2005-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-2-1T00 to 2005-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-03-01 00:00:00', '2005-03-01 00:15:00',
               '2005-03-01 00:30:00', '2005-03-01 00:45:00',
               '2005-03-01 01:00:00', '2005-03-01 01:15:00',
               '2005-03-01 01:30:00', '2005-03-01 01:45:00',
               '2005-03-01 02:00:00', '2005-03-01 02:15:00',
               ...
               '2005-03-03 06:45:00', '2005-03-03 07:00:00',
               '2005-03-03 07:15:00', '2005-03-03 07:30:00',
               '2005-03-03 07:45:00', '2005-03-03 08:00:00',
               '2005-03-03 08:15:00', '2005-03-03 08:30:00',
               '2005-03-03 08:45:00', '2005-03-03 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-03-01 00:00:00', '2005-03-01 00:15:00',
               '2005-03-01 00:30:00', '2005-03-01 00:45:00',
               '2005-03-01 01:00:00', '2005-03-01 01:15:00',
               '2005-03-01 01:30:00', '2005-03-01 01:45:00',
               '2005-03-01 02:00:00', '2005-03-01 02:15:00',
               ...
               '2005-03-23 06:45:00', '2005-03-23 07:00:00',
               '2005-03-23 07:15:00', '2005-03-23 07:30:00',
               '2005-03-23 07:45:00', '2005-03-23 08:00:00',
               '2005-03-23 08:15:00', '2005-03-23 08:30:00',
               '2005-03-23 08:45:00', '2005-03-23 09:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-03-01 00:00:00', '2005-03-01 00:15:00',
               '2005-03-01 00:30:00', '2005-03-01 00:45:00',
               '2005-03-01 01:00:00', '2005-03-01 01:15:00',
               '2005-03-01 01:30:00', '2005-03-01 01:45:00',
               '2005-03-01 02:00:00', '2005-03-01 02:15:00',
               ...
               '2005-03-11 06:30:00', '2005-03-11 06:45:00',
               '2005-03-11 07:00:00', '2005-03-11 07:15:00',
               '2005-03-11 07:30:00', '2005-03-11 07:45:00',
               '2005-03-11 08:00:00', '2005-03-11 08:15:00',
               '2005-03-11 08:30:00', '2005-03-11 08:45:00'],
              dtype='datetime64[ns]', length=996, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-03-01 00:00:00', '2005-03-01 00:15:00',
               '2005-03-01 00:30:00', '2005-03-01 00:45:00',
               '2005-03-01 01:00:00', '2005-03-01 01:15:00',
               '2005-03-01 01:30:00', '2005-03-01 01:45:00',
               '2005-03-01 02:00:00', '2005-03-01 02:15:00',
               ...
               '2005-03-31 20:45:00', '2005-03-31 21:00:00',
               '2005-03-31 21:15:00', '2005-03-31 21:30:00',
               '2005-03-31 21:45:00', '2005-03-31 22:00:00',
               '2005-03-31 22:15:00', '2005-03-31 22:30:00',
               '2005-03-31 22:45:00', '2005-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2749, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-03-01 00:00:00', '2005-03-01 00:15:00',
               '2005-03-01 00:30:00', '2005-03-01 00:45:00',
               '2005-03-01 01:00:00', '2005-03-01 01:15:00',
               '2005-03-01 01:30:00', '2005-03-01 01:45:00',
               '2005-03-01 02:00:00', '2005-03-01 02:15:00',
               ...
               '2005-03-31 20:45:00', '2005-03-31 21:00:00',
               '2005-03-31 21:15:00', '2005-03-31 21:30:00',
               '2005-03-31 21:45:00', '2005-03-31 22:00:00',
               '2005-03-31 22:15:00', '2005-03-31 22:30:00',
               '2005-03-31 22:45:00', '2005-03-31 23:00:00'],
              dtype='datetime64[ns]', length=1157, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-03-01 00:00:00', '2005-03-01 00:15:00',
               '2005-03-01 00:30:00', '2005-03-01 00:45:00',
               '2005-03-01 01:00:00', '2005-03-01 01:15:00',
               '2005-03-01 01:30:00', '2005-03-01 01:45:00',
               '2005-03-01 02:00:00', '2005-03-01 02:15:00',
               ...
               '2005-03-29 06:30:00', '2005-03-29 06:45:00',
               '2005-03-29 07:00:00', '2005-03-29 07:15:00',
               '2005-03-29 07:30:00', '2005-03-29 07:45:00',
               '2005-03-29 08:00:00', '2005-03-29 08:15:00',
               '2005-03-29 08:30:00', '2005-03-29 08:45:00'],
              dtype='datetime64[ns]', length=2724, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-03-01 00:00:00', '2005-03-01 00:15:00',
               '2005-03-01 00:30:00', '2005-03-01 00:45:00',
               '2005-03-01 01:00:00', '2005-03-01 01:15:00',
               '2005-03-01 01:30:00', '2005-03-01 01:45:00',
               '2005-03-01 02:00:00', '2005-03-01 02:15:00',
               ...
               '2005-03-09 06:30:00', '2005-03-09 06:45:00',
               '2005-03-09 07:00:00', '2005-03-09 07:15:00',
               '2005-03-09 07:30:00', '2005-03-09 07:45:00',
               '2005-03-09 08:00:00', '2005-03-09 08:15:00',
               '2005-03-09 08:30:00', '2005-03-09 08:45:00'],
              dtype='datetime64[ns]', length=804, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-03-10 08:45:00', '2005-03-10 09:00:00',
               '2005-03-10 09:15:00', '2005-03-10 09:30:00',
               '2005-03-10 09:45:00', '2005-03-10 10:00:00',
               '2005-03-10 10:15:00', '2005-03-10 10:30:00',
               '2005-03-10 10:45:00', '2005-03-10 11:00:00',
               ...
               '2005-03-31 06:45:00', '2005-03-31 07:00:00',
               '2005-03-31 07:15:00', '2005-03-31 07:30:00',
               '2005-03-31 07:45:00', '2005-03-31 08:00:00',
               '2005-03-31 08:15:00', '2005-03-31 08:30:00',
               '2005-03-31 08:45:00', '2005-03-31 09:00:00'],
              dtype='datetime64[ns]', length=292, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-3-1T00 to 2005-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-3-1T00 to 2005-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               '2005-04-01 02:30:00', '2005-04-01 02:45:00',
               '2005-04-01 03:00:00', '2005-04-01 03:15:00',
               '2005-04-01 03:30:00', '2005-04-01 03:45:00',
               '2005-04-01 04:00:00', '2005-04-01 04:15:00',
               '2005-04-01 04:30:00', '2005-04-01 04:45:00',
               '2005-04-01 05:00:00', '2005-04-01 05:15:00',
               '2005-04-01 05:30:00', '2005-04-01 05:45:00',
               '2005-04-01 06:00:00', '2005-04-01 06:15:00',
               '2005-04-01 06:30:00', '2005-04-01 06:45:00',
               '2005-04-01 07:00:00', '2005-04-01 07:15:00',
               '2005-04-01 07:30:00', '2005-04-01 07:45:00',
               '2005-04-01 08:00:00', '2005-04-01 08:15:00',
               '2005-04-01 08:30:00', '2005-04-01 08:45:00',
               '2005-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               '2005-04-01 02:30:00', '2005-04-01 02:45:00',
               '2005-04-01 03:00:00', '2005-04-01 03:15:00',
               '2005-04-01 03:30:00', '2005-04-01 03:45:00',
               '2005-04-01 04:00:00', '2005-04-01 04:15:00',
               '2005-04-01 04:30:00', '2005-04-01 04:45:00',
               '2005-04-01 05:00:00', '2005-04-01 05:15:00',
               '2005-04-01 05:30:00', '2005-04-01 05:45:00',
               '2005-04-01 06:00:00', '2005-04-01 06:15:00',
               '2005-04-01 06:30:00', '2005-04-01 06:45:00',
               '2005-04-01 07:00:00', '2005-04-01 07:15:00',
               '2005-04-01 07:30:00', '2005-04-01 07:45:00',
               '2005-04-01 08:00:00', '2005-04-01 08:15:00',
               '2005-04-01 08:30:00', '2005-04-01 08:45:00',
               '2005-04-01 09:00:00', '2005-04-13 23:00:00',
               '2005-04-13 23:15:00', '2005-04-13 23:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               ...
               '2005-04-30 20:45:00', '2005-04-30 21:00:00',
               '2005-04-30 21:15:00', '2005-04-30 21:30:00',
               '2005-04-30 21:45:00', '2005-04-30 22:00:00',
               '2005-04-30 22:15:00', '2005-04-30 22:30:00',
               '2005-04-30 22:45:00', '2005-04-30 23:00:00'],
              dtype='datetime64[ns]', length=195, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               ...
               '2005-04-20 05:30:00', '2005-04-20 05:45:00',
               '2005-04-20 06:00:00', '2005-04-20 06:15:00',
               '2005-04-20 06:30:00', '2005-04-20 06:45:00',
               '2005-04-20 07:00:00', '2005-04-20 07:15:00',
               '2005-04-20 07:30:00', '2005-04-20 07:45:00'],
              dtype='datetime64[ns]', length=1856, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               ...
               '2005-04-15 05:45:00', '2005-04-15 06:00:00',
               '2005-04-15 06:15:00', '2005-04-15 06:30:00',
               '2005-04-15 06:45:00', '2005-04-15 07:00:00',
               '2005-04-15 07:15:00', '2005-04-15 07:30:00',
               '2005-04-15 07:45:00', '2005-04-15 08:00:00'],
              dtype='datetime64[ns]', length=1377, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               ...
               '2005-04-11 05:45:00', '2005-04-11 06:00:00',
               '2005-04-11 06:15:00', '2005-04-11 06:30:00',
               '2005-04-11 06:45:00', '2005-04-11 07:00:00',
               '2005-04-11 07:15:00', '2005-04-11 07:30:00',
               '2005-04-11 07:45:00', '2005-04-11 08:00:00'],
              dtype='datetime64[ns]', length=613, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               '2005-04-01 02:30:00', '2005-04-01 02:45:00',
               '2005-04-01 03:00:00', '2005-04-01 03:15:00',
               '2005-04-01 03:30:00', '2005-04-01 03:45:00',
               '2005-04-01 04:00:00', '2005-04-01 04:15:00',
               '2005-04-01 04:30:00', '2005-04-01 04:45:00',
               '2005-04-01 05:00:00', '2005-04-01 05:15:00',
               '2005-04-01 05:30:00', '2005-04-01 05:45:00',
               '2005-04-01 06:00:00', '2005-04-01 06:15:00',
               '2005-04-01 06:30:00', '2005-04-01 06:45:00',
               '2005-04-01 07:00:00', '2005-04-01 07:15:00',
               '2005-04-01 07:30:00', '2005-04-01 07:45:00',
               '2005-04-01 08:00:00', '2005-04-01 08:15:00',
               '2005-04-01 08:30:00', '2005-04-01 08:45:00',
               '2005-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               ...
               '2005-04-30 20:45:00', '2005-04-30 21:00:00',
               '2005-04-30 21:15:00', '2005-04-30 21:30:00',
               '2005-04-30 21:45:00', '2005-04-30 22:00:00',
               '2005-04-30 22:15:00', '2005-04-30 22:30:00',
               '2005-04-30 22:45:00', '2005-04-30 23:00:00'],
              dtype='datetime64[ns]', length=197, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-04-01 00:00:00', '2005-04-01 00:15:00',
               '2005-04-01 00:30:00', '2005-04-01 00:45:00',
               '2005-04-01 01:00:00', '2005-04-01 01:15:00',
               '2005-04-01 01:30:00', '2005-04-01 01:45:00',
               '2005-04-01 02:00:00', '2005-04-01 02:15:00',
               ...
               '2005-04-27 05:30:00', '2005-04-27 05:45:00',
               '2005-04-27 06:00:00', '2005-04-27 06:15:00',
               '2005-04-27 06:30:00', '2005-04-27 06:45:00',
               '2005-04-27 07:00:00', '2005-04-27 07:15:00',
               '2005-04-27 07:30:00', '2005-04-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-04-29 07:45:00', '2005-04-29 08:00:00',
               '2005-04-29 08:15:00', '2005-04-29 08:30:00',
               '2005-04-29 08:45:00', '2005-04-29 09:00:00',
               '2005-04-29 09:15:00', '2005-04-29 09:30:00',
               '2005-04-29 09:45:00', '2005-04-29 10:00:00',
               ...
               '2005-04-30 20:45:00', '2005-04-30 21:00:00',
               '2005-04-30 21:15:00', '2005-04-30 21:30:00',
               '2005-04-30 21:45:00', '2005-04-30 22:00:00',
               '2005-04-30 22:15:00', '2005-04-30 22:30:00',
               '2005-04-30 22:45:00', '2005-04-30 23:00:00'],
              dtype='datetime64[ns]', length=158, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-4-1T00 to 2005-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-4-1T00 to 2005-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               '2005-05-01 02:30:00', '2005-05-01 02:45:00',
               '2005-05-01 03:00:00', '2005-05-01 03:15:00',
               '2005-05-01 03:30:00', '2005-05-01 03:45:00',
               '2005-05-01 04:00:00', '2005-05-01 04:15:00',
               '2005-05-01 04:30:00', '2005-05-01 04:45:00',
               '2005-05-01 05:00:00', '2005-05-01 05:15:00',
               '2005-05-01 05:30:00', '2005-05-01 05:45:00',
               '2005-05-01 06:00:00', '2005-05-01 06:15:00',
               '2005-05-01 06:30:00', '2005-05-01 06:45:00',
               '2005-05-01 07:00:00', '2005-05-01 07:15:00',
               '2005-05-01 07:30:00', '2005-05-01 07:45:00',
               '2005-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               '2005-05-01 02:30:00', '2005-05-01 02:45:00',
               '2005-05-01 03:00:00', '2005-05-01 03:15:00',
               '2005-05-01 03:30:00', '2005-05-01 03:45:00',
               '2005-05-01 04:00:00', '2005-05-01 04:15:00',
               '2005-05-01 04:30:00', '2005-05-01 04:45:00',
               '2005-05-01 05:00:00', '2005-05-01 05:15:00',
               '2005-05-01 05:30:00', '2005-05-01 05:45:00',
               '2005-05-01 06:00:00', '2005-05-01 06:15:00',
               '2005-05-01 06:30:00', '2005-05-01 06:45:00',
               '2005-05-01 07:00:00', '2005-05-01 07:15:00',
               '2005-05-01 07:30:00', '2005-05-01 07:45:00',
               '2005-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               ...
               '2005-05-03 08:00:00', '2005-05-05 03:45:00',
               '2005-05-05 04:00:00', '2005-05-05 04:15:00',
               '2005-05-14 13:30:00', '2005-05-14 13:45:00',
               '2005-05-14 14:00:00', '2005-05-16 13:00:00',
               '2005-05-16 13:15:00', '2005-05-16 13:30:00'],
              dtype='datetime64[ns]', length=234, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               ...
               '2005-05-19 05:45:00', '2005-05-19 06:00:00',
               '2005-05-19 06:15:00', '2005-05-19 06:30:00',
               '2005-05-19 06:45:00', '2005-05-19 07:00:00',
               '2005-05-19 07:15:00', '2005-05-19 07:30:00',
               '2005-05-19 07:45:00', '2005-05-19 08:00:00'],
              dtype='datetime64[ns]', length=230, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               '2005-05-01 02:30:00', '2005-05-01 02:45:00',
               '2005-05-01 03:00:00', '2005-05-01 03:15:00',
               '2005-05-01 03:30:00', '2005-05-01 03:45:00',
               '2005-05-01 04:00:00', '2005-05-01 04:15:00',
               '2005-05-01 04:30:00', '2005-05-01 04:45:00',
               '2005-05-01 05:00:00', '2005-05-01 05:15:00',
               '2005-05-01 05:30:00', '2005-05-01 05:45:00',
               '2005-05-01 06:00:00', '2005-05-01 06:15:00',
               '2005-05-01 06:30:00', '2005-05-01 06:45:00',
               '2005-05-01 07:00:00', '2005-05-01 07:15:00',
               '2005-05-01 07:30:00', '2005-05-01 07:45:00',
               '2005-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               '2005-05-01 02:30:00', '2005-05-01 02:45:00',
               '2005-05-01 03:00:00', '2005-05-01 03:15:00',
               '2005-05-01 03:30:00', '2005-05-01 03:45:00',
               '2005-05-01 04:00:00', '2005-05-01 04:15:00',
               '2005-05-01 04:30:00', '2005-05-01 04:45:00',
               '2005-05-01 05:00:00', '2005-05-01 05:15:00',
               '2005-05-01 05:30:00', '2005-05-01 05:45:00',
               '2005-05-01 06:00:00', '2005-05-01 06:15:00',
               '2005-05-01 06:30:00', '2005-05-01 06:45:00',
               '2005-05-01 07:00:00', '2005-05-01 07:15:00',
               '2005-05-01 07:30:00', '2005-05-01 07:45:00',
               '2005-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               '2005-05-01 02:30:00', '2005-05-01 02:45:00',
               '2005-05-01 03:00:00', '2005-05-01 03:15:00',
               '2005-05-01 03:30:00', '2005-05-01 03:45:00',
               '2005-05-01 04:00:00', '2005-05-01 04:15:00',
               '2005-05-01 04:30:00', '2005-05-01 04:45:00',
               '2005-05-01 05:00:00', '2005-05-01 05:15:00',
               '2005-05-01 05:30:00', '2005-05-01 05:45:00',
               '2005-05-01 06:00:00', '2005-05-01 06:15:00',
               '2005-05-01 06:30:00', '2005-05-01 06:45:00',
               '2005-05-01 07:00:00', '2005-05-01 07:15:00',
               '2005-05-01 07:30:00', '2005-05-01 07:45:00',
               '2005-05-01 08:00:00', '2005-05-05 19:15:00',
               '2005-05-05 19:30:00', '2005-05-05 19:45:00',
               '2005-05-05 20:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               ...
               '2005-05-19 05:45:00', '2005-05-19 06:00:00',
               '2005-05-19 06:15:00', '2005-05-19 06:30:00',
               '2005-05-19 06:45:00', '2005-05-19 07:00:00',
               '2005-05-19 07:15:00', '2005-05-19 07:30:00',
               '2005-05-19 07:45:00', '2005-05-19 08:00:00'],
              dtype='datetime64[ns]', length=1095, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-05-01 00:00:00', '2005-05-01 00:15:00',
               '2005-05-01 00:30:00', '2005-05-01 00:45:00',
               '2005-05-01 01:00:00', '2005-05-01 01:15:00',
               '2005-05-01 01:30:00', '2005-05-01 01:45:00',
               '2005-05-01 02:00:00', '2005-05-01 02:15:00',
               '2005-05-01 02:30:00', '2005-05-01 02:45:00',
               '2005-05-01 03:00:00', '2005-05-01 03:15:00',
               '2005-05-01 03:30:00', '2005-05-01 03:45:00',
               '2005-05-01 04:00:00', '2005-05-01 04:15:00',
               '2005-05-01 04:30:00', '2005-05-01 04:45:00',
               '2005-05-01 05:00:00', '2005-05-01 05:15:00',
               '2005-05-01 05:30:00', '2005-05-01 05:45:00',
               '2005-05-01 06:00:00', '2005-05-01 06:15:00',
               '2005-05-01 06:30:00', '2005-05-01 06:45:00',
               '2005-05-01 07:00:00', '2005-05-01 07:15:00',
               '2005-05-01 07:30:00', '2005-05-01 07:45:00',
               '2005-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-5-1T00 to 2005-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-5-1T00 to 2005-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00', '2005-06-24 18:45:00',
               '2005-06-24 19:00:00', '2005-06-24 19:15:00',
               '2005-06-24 19:30:00', '2005-06-30 17:45:00',
               '2005-06-30 18:00:00', '2005-06-30 18:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-06-01 00:00:00', '2005-06-01 00:15:00',
               '2005-06-01 00:30:00', '2005-06-01 00:45:00',
               '2005-06-01 01:00:00', '2005-06-01 01:15:00',
               '2005-06-01 01:30:00', '2005-06-01 01:45:00',
               '2005-06-01 02:00:00', '2005-06-01 02:15:00',
               '2005-06-01 02:30:00', '2005-06-01 02:45:00',
               '2005-06-01 03:00:00', '2005-06-01 03:15:00',
               '2005-06-01 03:30:00', '2005-06-01 03:45:00',
               '2005-06-01 04:00:00', '2005-06-01 04:15:00',
               '2005-06-01 04:30:00', '2005-06-01 04:45:00',
               '2005-06-01 05:00:00', '2005-06-01 05:15:00',
               '2005-06-01 05:30:00', '2005-06-01 05:45:00',
               '2005-06-01 06:00:00', '2005-06-01 06:15:00',
               '2005-06-01 06:30:00', '2005-06-01 06:45:00',
               '2005-06-01 07:00:00', '2005-06-01 07:15:00',
               '2005-06-01 07:30:00', '2005-06-01 07:45:00',
               '2005-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-6-1T00 to 2005-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-6-1T00 to 2005-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               '2005-07-01 02:30:00', '2005-07-01 02:45:00',
               '2005-07-01 03:00:00', '2005-07-01 03:15:00',
               '2005-07-01 03:30:00', '2005-07-01 03:45:00',
               '2005-07-01 04:00:00', '2005-07-01 04:15:00',
               '2005-07-01 04:30:00', '2005-07-01 04:45:00',
               '2005-07-01 05:00:00', '2005-07-01 05:15:00',
               '2005-07-01 05:30:00', '2005-07-01 05:45:00',
               '2005-07-01 06:00:00', '2005-07-01 06:15:00',
               '2005-07-01 06:30:00', '2005-07-01 06:45:00',
               '2005-07-01 07:00:00', '2005-07-01 07:15:00',
               '2005-07-01 07:30:00', '2005-07-01 07:45:00',
               '2005-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               '2005-07-01 02:30:00', '2005-07-01 02:45:00',
               '2005-07-01 03:00:00', '2005-07-01 03:15:00',
               '2005-07-01 03:30:00', '2005-07-01 03:45:00',
               '2005-07-01 04:00:00', '2005-07-01 04:15:00',
               '2005-07-01 04:30:00', '2005-07-01 04:45:00',
               '2005-07-01 05:00:00', '2005-07-01 05:15:00',
               '2005-07-01 05:30:00', '2005-07-01 05:45:00',
               '2005-07-01 06:00:00', '2005-07-01 06:15:00',
               '2005-07-01 06:30:00', '2005-07-01 06:45:00',
               '2005-07-01 07:00:00', '2005-07-01 07:15:00',
               '2005-07-01 07:30:00', '2005-07-01 07:45:00',
               '2005-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               ...
               '2005-07-27 07:15:00', '2005-07-27 07:30:00',
               '2005-07-27 07:45:00', '2005-07-27 08:00:00',
               '2005-07-27 21:30:00', '2005-07-27 21:45:00',
               '2005-07-27 22:00:00', '2005-07-27 22:15:00',
               '2005-07-27 22:30:00', '2005-07-27 22:45:00'],
              dtype='datetime64[ns]', length=236, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               ...
               '2005-07-31 20:45:00', '2005-07-31 21:00:00',
               '2005-07-31 21:15:00', '2005-07-31 21:30:00',
               '2005-07-31 21:45:00', '2005-07-31 22:00:00',
               '2005-07-31 22:15:00', '2005-07-31 22:30:00',
               '2005-07-31 22:45:00', '2005-07-31 23:00:00'],
              dtype='datetime64[ns]', length=675, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               '2005-07-01 02:30:00', '2005-07-01 02:45:00',
               '2005-07-01 03:00:00', '2005-07-01 03:15:00',
               '2005-07-01 03:30:00', '2005-07-01 03:45:00',
               '2005-07-01 04:00:00', '2005-07-01 04:15:00',
               '2005-07-01 04:30:00', '2005-07-01 04:45:00',
               '2005-07-01 05:00:00', '2005-07-01 05:15:00',
               '2005-07-01 05:30:00', '2005-07-01 05:45:00',
               '2005-07-01 06:00:00', '2005-07-01 06:15:00',
               '2005-07-01 06:30:00', '2005-07-01 06:45:00',
               '2005-07-01 07:00:00', '2005-07-01 07:15:00',
               '2005-07-01 07:30:00', '2005-07-01 07:45:00',
               '2005-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               ...
               '2005-07-24 05:45:00', '2005-07-24 06:00:00',
               '2005-07-24 06:15:00', '2005-07-24 06:30:00',
               '2005-07-24 06:45:00', '2005-07-24 07:00:00',
               '2005-07-24 07:15:00', '2005-07-24 07:30:00',
               '2005-07-24 07:45:00', '2005-07-24 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               '2005-07-01 02:30:00', '2005-07-01 02:45:00',
               '2005-07-01 03:00:00', '2005-07-01 03:15:00',
               '2005-07-01 03:30:00', '2005-07-01 03:45:00',
               '2005-07-01 04:00:00', '2005-07-01 04:15:00',
               '2005-07-01 04:30:00', '2005-07-01 04:45:00',
               '2005-07-01 05:00:00', '2005-07-01 05:15:00',
               '2005-07-01 05:30:00', '2005-07-01 05:45:00',
               '2005-07-01 06:00:00', '2005-07-01 06:15:00',
               '2005-07-01 06:30:00', '2005-07-01 06:45:00',
               '2005-07-01 07:00:00', '2005-07-01 07:15:00',
               '2005-07-01 07:30:00', '2005-07-01 07:45:00',
               '2005-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               '2005-07-01 02:30:00', '2005-07-01 02:45:00',
               '2005-07-01 03:00:00', '2005-07-01 03:15:00',
               '2005-07-01 03:30:00', '2005-07-01 03:45:00',
               '2005-07-01 04:00:00', '2005-07-01 04:15:00',
               '2005-07-01 04:30:00', '2005-07-01 04:45:00',
               '2005-07-01 05:00:00', '2005-07-01 05:15:00',
               '2005-07-01 05:30:00', '2005-07-01 05:45:00',
               '2005-07-01 06:00:00', '2005-07-01 06:15:00',
               '2005-07-01 06:30:00', '2005-07-01 06:45:00',
               '2005-07-01 07:00:00', '2005-07-01 07:15:00',
               '2005-07-01 07:30:00', '2005-07-01 07:45:00',
               '2005-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-07-01 00:00:00', '2005-07-01 00:15:00',
               '2005-07-01 00:30:00', '2005-07-01 00:45:00',
               '2005-07-01 01:00:00', '2005-07-01 01:15:00',
               '2005-07-01 01:30:00', '2005-07-01 01:45:00',
               '2005-07-01 02:00:00', '2005-07-01 02:15:00',
               '2005-07-01 02:30:00', '2005-07-01 02:45:00',
               '2005-07-01 03:00:00', '2005-07-01 03:15:00',
               '2005-07-01 03:30:00', '2005-07-01 03:45:00',
               '2005-07-01 04:00:00', '2005-07-01 04:15:00',
               '2005-07-01 04:30:00', '2005-07-01 04:45:00',
               '2005-07-01 05:00:00', '2005-07-01 05:15:00',
               '2005-07-01 05:30:00', '2005-07-01 05:45:00',
               '2005-07-01 06:00:00', '2005-07-01 06:15:00',
               '2005-07-01 06:30:00', '2005-07-01 06:45:00',
               '2005-07-01 07:00:00', '2005-07-01 07:15:00',
               '2005-07-01 07:30:00', '2005-07-01 07:45:00',
               '2005-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-7-1T00 to 2005-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-7-1T00 to 2005-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               '2005-08-01 02:30:00', '2005-08-01 02:45:00',
               '2005-08-01 03:00:00', '2005-08-01 03:15:00',
               '2005-08-01 03:30:00', '2005-08-01 03:45:00',
               '2005-08-01 04:00:00', '2005-08-01 04:15:00',
               '2005-08-01 04:30:00', '2005-08-01 04:45:00',
               '2005-08-01 05:00:00', '2005-08-01 05:15:00',
               '2005-08-01 05:30:00', '2005-08-01 05:45:00',
               '2005-08-01 06:00:00', '2005-08-01 06:15:00',
               '2005-08-01 06:30:00', '2005-08-01 06:45:00',
               '2005-08-01 07:00:00', '2005-08-01 07:15:00',
               '2005-08-01 07:30:00', '2005-08-01 07:45:00',
               '2005-08-01 08:00:00', '2005-08-02 21:15:00',
               '2005-08-02 21:30:00', '2005-08-02 21:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               '2005-08-01 02:30:00', '2005-08-01 02:45:00',
               '2005-08-01 03:00:00', '2005-08-01 03:15:00',
               '2005-08-01 03:30:00', '2005-08-01 03:45:00',
               '2005-08-01 04:00:00', '2005-08-01 04:15:00',
               '2005-08-01 04:30:00', '2005-08-01 04:45:00',
               '2005-08-01 05:00:00', '2005-08-01 05:15:00',
               '2005-08-01 05:30:00', '2005-08-01 05:45:00',
               '2005-08-01 06:00:00', '2005-08-01 06:15:00',
               '2005-08-01 06:30:00', '2005-08-01 06:45:00',
               '2005-08-01 07:00:00', '2005-08-01 07:15:00',
               '2005-08-01 07:30:00', '2005-08-01 07:45:00',
               '2005-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               '2005-08-01 02:30:00', '2005-08-01 02:45:00',
               '2005-08-01 03:00:00', '2005-08-01 03:15:00',
               '2005-08-01 03:30:00', '2005-08-01 03:45:00',
               '2005-08-01 04:00:00', '2005-08-01 04:15:00',
               '2005-08-01 04:30:00', '2005-08-01 04:45:00',
               '2005-08-01 05:00:00', '2005-08-01 05:15:00',
               '2005-08-01 05:30:00', '2005-08-01 05:45:00',
               '2005-08-01 06:00:00', '2005-08-01 06:15:00',
               '2005-08-01 06:30:00', '2005-08-01 06:45:00',
               '2005-08-01 07:00:00', '2005-08-01 07:15:00',
               '2005-08-01 07:30:00', '2005-08-01 07:45:00',
               '2005-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               ...
               '2005-08-24 05:45:00', '2005-08-24 06:00:00',
               '2005-08-24 06:15:00', '2005-08-24 06:30:00',
               '2005-08-24 06:45:00', '2005-08-24 07:00:00',
               '2005-08-24 07:15:00', '2005-08-24 07:30:00',
               '2005-08-24 07:45:00', '2005-08-24 08:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               '2005-08-01 02:30:00', '2005-08-01 02:45:00',
               '2005-08-01 03:00:00', '2005-08-01 03:15:00',
               '2005-08-01 03:30:00', '2005-08-01 03:45:00',
               '2005-08-01 04:00:00', '2005-08-01 04:15:00',
               '2005-08-01 04:30:00', '2005-08-01 04:45:00',
               '2005-08-01 05:00:00', '2005-08-01 05:15:00',
               '2005-08-01 05:30:00', '2005-08-01 05:45:00',
               '2005-08-01 06:00:00', '2005-08-01 06:15:00',
               '2005-08-01 06:30:00', '2005-08-01 06:45:00',
               '2005-08-01 07:00:00', '2005-08-01 07:15:00',
               '2005-08-01 07:30:00', '2005-08-01 07:45:00',
               '2005-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               ...
               '2005-08-23 05:45:00', '2005-08-23 06:00:00',
               '2005-08-23 06:15:00', '2005-08-23 06:30:00',
               '2005-08-23 06:45:00', '2005-08-23 07:00:00',
               '2005-08-23 07:15:00', '2005-08-23 07:30:00',
               '2005-08-23 07:45:00', '2005-08-23 08:00:00'],
              dtype='datetime64[ns]', length=520, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               '2005-08-01 02:30:00', '2005-08-01 02:45:00',
               '2005-08-01 03:00:00', '2005-08-01 03:15:00',
               '2005-08-01 03:30:00', '2005-08-01 03:45:00',
               '2005-08-01 04:00:00', '2005-08-01 04:15:00',
               '2005-08-01 04:30:00', '2005-08-01 04:45:00',
               '2005-08-01 05:00:00', '2005-08-01 05:15:00',
               '2005-08-01 05:30:00', '2005-08-01 05:45:00',
               '2005-08-01 06:00:00', '2005-08-01 06:15:00',
               '2005-08-01 06:30:00', '2005-08-01 06:45:00',
               '2005-08-01 07:00:00', '2005-08-01 07:15:00',
               '2005-08-01 07:30:00', '2005-08-01 07:45:00',
               '2005-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               '2005-08-01 02:30:00', '2005-08-01 02:45:00',
               '2005-08-01 03:00:00', '2005-08-01 03:15:00',
               '2005-08-01 03:30:00', '2005-08-01 03:45:00',
               '2005-08-01 04:00:00', '2005-08-01 04:15:00',
               '2005-08-01 04:30:00', '2005-08-01 04:45:00',
               '2005-08-01 05:00:00', '2005-08-01 05:15:00',
               '2005-08-01 05:30:00', '2005-08-01 05:45:00',
               '2005-08-01 06:00:00', '2005-08-01 06:15:00',
               '2005-08-01 06:30:00', '2005-08-01 06:45:00',
               '2005-08-01 07:00:00', '2005-08-01 07:15:00',
               '2005-08-01 07:30:00', '2005-08-01 07:45:00',
               '2005-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-08-01 00:00:00', '2005-08-01 00:15:00',
               '2005-08-01 00:30:00', '2005-08-01 00:45:00',
               '2005-08-01 01:00:00', '2005-08-01 01:15:00',
               '2005-08-01 01:30:00', '2005-08-01 01:45:00',
               '2005-08-01 02:00:00', '2005-08-01 02:15:00',
               ...
               '2005-08-20 05:30:00', '2005-08-20 05:45:00',
               '2005-08-20 06:00:00', '2005-08-20 06:15:00',
               '2005-08-20 06:30:00', '2005-08-20 06:45:00',
               '2005-08-20 07:00:00', '2005-08-20 07:15:00',
               '2005-08-20 07:30:00', '2005-08-20 07:45:00'],
              dtype='datetime64[ns]', length=1856, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-8-1T00 to 2005-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-8-1T00 to 2005-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               '2005-09-01 02:30:00', '2005-09-01 02:45:00',
               '2005-09-01 03:00:00', '2005-09-01 03:15:00',
               '2005-09-01 03:30:00', '2005-09-01 03:45:00',
               '2005-09-01 04:00:00', '2005-09-01 04:15:00',
               '2005-09-01 04:30:00', '2005-09-01 04:45:00',
               '2005-09-01 05:00:00', '2005-09-01 05:15:00',
               '2005-09-01 05:30:00', '2005-09-01 05:45:00',
               '2005-09-01 06:00:00', '2005-09-01 06:15:00',
               '2005-09-01 06:30:00', '2005-09-01 06:45:00',
               '2005-09-01 07:00:00', '2005-09-01 07:15:00',
               '2005-09-01 07:30:00', '2005-09-01 07:45:00',
               '2005-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               '2005-09-01 02:30:00', '2005-09-01 02:45:00',
               '2005-09-01 03:00:00', '2005-09-01 03:15:00',
               '2005-09-01 03:30:00', '2005-09-01 03:45:00',
               '2005-09-01 04:00:00', '2005-09-01 04:15:00',
               '2005-09-01 04:30:00', '2005-09-01 04:45:00',
               '2005-09-01 05:00:00', '2005-09-01 05:15:00',
               '2005-09-01 05:30:00', '2005-09-01 05:45:00',
               '2005-09-01 06:00:00', '2005-09-01 06:15:00',
               '2005-09-01 06:30:00', '2005-09-01 06:45:00',
               '2005-09-01 07:00:00', '2005-09-01 07:15:00',
               '2005-09-01 07:30:00', '2005-09-01 07:45:00',
               '2005-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               '2005-09-01 02:30:00', '2005-09-01 02:45:00',
               '2005-09-01 03:00:00', '2005-09-01 03:15:00',
               '2005-09-01 03:30:00', '2005-09-01 03:45:00',
               '2005-09-01 04:00:00', '2005-09-01 04:15:00',
               '2005-09-01 04:30:00', '2005-09-01 04:45:00',
               '2005-09-01 05:00:00', '2005-09-01 05:15:00',
               '2005-09-01 05:30:00', '2005-09-01 05:45:00',
               '2005-09-01 06:00:00', '2005-09-01 06:15:00',
               '2005-09-01 06:30:00', '2005-09-01 06:45:00',
               '2005-09-01 07:00:00', '2005-09-01 07:15:00',
               '2005-09-01 07:30:00', '2005-09-01 07:45:00',
               '2005-09-01 08:00:00', '2005-09-11 12:00:00',
               '2005-09-11 12:15:00', '2005-09-11 12:30:00',
               '2005-09-14 05:30:00', '2005-09-14 05:45:00',
               '2005-09-14 06:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               ...
               '2005-09-13 05:45:00', '2005-09-13 06:00:00',
               '2005-09-13 06:15:00', '2005-09-13 06:30:00',
               '2005-09-13 06:45:00', '2005-09-13 07:00:00',
               '2005-09-13 07:15:00', '2005-09-13 07:30:00',
               '2005-09-13 07:45:00', '2005-09-13 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               '2005-09-01 02:30:00', '2005-09-01 02:45:00',
               '2005-09-01 03:00:00', '2005-09-01 03:15:00',
               '2005-09-01 03:30:00', '2005-09-01 03:45:00',
               '2005-09-01 04:00:00', '2005-09-01 04:15:00',
               '2005-09-01 04:30:00', '2005-09-01 04:45:00',
               '2005-09-01 05:00:00', '2005-09-01 05:15:00',
               '2005-09-01 05:30:00', '2005-09-01 05:45:00',
               '2005-09-01 06:00:00', '2005-09-01 06:15:00',
               '2005-09-01 06:30:00', '2005-09-01 06:45:00',
               '2005-09-01 07:00:00', '2005-09-01 07:15:00',
               '2005-09-01 07:30:00', '2005-09-01 07:45:00',
               '2005-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               ...
               '2005-09-21 05:45:00', '2005-09-21 06:00:00',
               '2005-09-21 06:15:00', '2005-09-21 06:30:00',
               '2005-09-21 06:45:00', '2005-09-21 07:00:00',
               '2005-09-21 07:15:00', '2005-09-21 07:30:00',
               '2005-09-21 07:45:00', '2005-09-21 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               '2005-09-01 02:30:00', '2005-09-01 02:45:00',
               '2005-09-01 03:00:00', '2005-09-01 03:15:00',
               '2005-09-01 03:30:00', '2005-09-01 03:45:00',
               '2005-09-01 04:00:00', '2005-09-01 04:15:00',
               '2005-09-01 04:30:00', '2005-09-01 04:45:00',
               '2005-09-01 05:00:00', '2005-09-01 05:15:00',
               '2005-09-01 05:30:00', '2005-09-01 05:45:00',
               '2005-09-01 06:00:00', '2005-09-01 06:15:00',
               '2005-09-01 06:30:00', '2005-09-01 06:45:00',
               '2005-09-01 07:00:00', '2005-09-01 07:15:00',
               '2005-09-01 07:30:00', '2005-09-01 07:45:00',
               '2005-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               '2005-09-01 02:30:00', '2005-09-01 02:45:00',
               '2005-09-01 03:00:00', '2005-09-01 03:15:00',
               '2005-09-01 03:30:00', '2005-09-01 03:45:00',
               '2005-09-01 04:00:00', '2005-09-01 04:15:00',
               '2005-09-01 04:30:00', '2005-09-01 04:45:00',
               '2005-09-01 05:00:00', '2005-09-01 05:15:00',
               '2005-09-01 05:30:00', '2005-09-01 05:45:00',
               '2005-09-01 06:00:00', '2005-09-01 06:15:00',
               '2005-09-01 06:30:00', '2005-09-01 06:45:00',
               '2005-09-01 07:00:00', '2005-09-01 07:15:00',
               '2005-09-01 07:30:00', '2005-09-01 07:45:00',
               '2005-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-09-01 00:00:00', '2005-09-01 00:15:00',
               '2005-09-01 00:30:00', '2005-09-01 00:45:00',
               '2005-09-01 01:00:00', '2005-09-01 01:15:00',
               '2005-09-01 01:30:00', '2005-09-01 01:45:00',
               '2005-09-01 02:00:00', '2005-09-01 02:15:00',
               '2005-09-01 02:30:00', '2005-09-01 02:45:00',
               '2005-09-01 03:00:00', '2005-09-01 03:15:00',
               '2005-09-01 03:30:00', '2005-09-01 03:45:00',
               '2005-09-01 04:00:00', '2005-09-01 04:15:00',
               '2005-09-01 04:30:00', '2005-09-01 04:45:00',
               '2005-09-01 05:00:00', '2005-09-01 05:15:00',
               '2005-09-01 05:30:00', '2005-09-01 05:45:00',
               '2005-09-01 06:00:00', '2005-09-01 06:15:00',
               '2005-09-01 06:30:00', '2005-09-01 06:45:00',
               '2005-09-01 07:00:00', '2005-09-01 07:15:00',
               '2005-09-01 07:30:00', '2005-09-01 07:45:00',
               '2005-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-9-1T00 to 2005-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-9-1T00 to 2005-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               '2005-10-01 02:30:00', '2005-10-01 02:45:00',
               '2005-10-01 03:00:00', '2005-10-01 03:15:00',
               '2005-10-01 03:30:00', '2005-10-01 03:45:00',
               '2005-10-01 04:00:00', '2005-10-01 04:15:00',
               '2005-10-01 04:30:00', '2005-10-01 04:45:00',
               '2005-10-01 05:00:00', '2005-10-01 05:15:00',
               '2005-10-01 05:30:00', '2005-10-01 05:45:00',
               '2005-10-01 06:00:00', '2005-10-01 06:15:00',
               '2005-10-01 06:30:00', '2005-10-01 06:45:00',
               '2005-10-01 07:00:00', '2005-10-01 07:15:00',
               '2005-10-01 07:30:00', '2005-10-01 07:45:00',
               '2005-10-01 08:00:00', '2005-10-15 17:45:00',
               '2005-10-15 18:00:00', '2005-10-15 18:15:00',
               '2005-10-15 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               ...
               '2005-10-31 20:45:00', '2005-10-31 21:00:00',
               '2005-10-31 21:15:00', '2005-10-31 21:30:00',
               '2005-10-31 21:45:00', '2005-10-31 22:00:00',
               '2005-10-31 22:15:00', '2005-10-31 22:30:00',
               '2005-10-31 22:45:00', '2005-10-31 23:00:00'],
              dtype='datetime64[ns]', length=767, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               '2005-10-01 02:30:00', '2005-10-01 02:45:00',
               '2005-10-01 03:00:00', '2005-10-01 03:15:00',
               '2005-10-01 03:30:00', '2005-10-01 03:45:00',
               '2005-10-01 04:00:00', '2005-10-01 04:15:00',
               '2005-10-01 04:30:00', '2005-10-01 04:45:00',
               '2005-10-01 05:00:00', '2005-10-01 05:15:00',
               '2005-10-01 05:30:00', '2005-10-01 05:45:00',
               '2005-10-01 06:00:00', '2005-10-01 06:15:00',
               '2005-10-01 06:30:00', '2005-10-01 06:45:00',
               '2005-10-01 07:00:00', '2005-10-01 07:15:00',
               '2005-10-01 07:30:00', '2005-10-01 07:45:00',
               '2005-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               ...
               '2005-10-31 20:45:00', '2005-10-31 21:00:00',
               '2005-10-31 21:15:00', '2005-10-31 21:30:00',
               '2005-10-31 21:45:00', '2005-10-31 22:00:00',
               '2005-10-31 22:15:00', '2005-10-31 22:30:00',
               '2005-10-31 22:45:00', '2005-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1057, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               '2005-10-01 02:30:00', '2005-10-01 02:45:00',
               '2005-10-01 03:00:00', '2005-10-01 03:15:00',
               '2005-10-01 03:30:00', '2005-10-01 03:45:00',
               '2005-10-01 04:00:00', '2005-10-01 04:15:00',
               '2005-10-01 04:30:00', '2005-10-01 04:45:00',
               '2005-10-01 05:00:00', '2005-10-01 05:15:00',
               '2005-10-01 05:30:00', '2005-10-01 05:45:00',
               '2005-10-01 06:00:00', '2005-10-01 06:15:00',
               '2005-10-01 06:30:00', '2005-10-01 06:45:00',
               '2005-10-01 07:00:00', '2005-10-01 07:15:00',
               '2005-10-01 07:30:00', '2005-10-01 07:45:00',
               '2005-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               ...
               '2005-10-20 05:45:00', '2005-10-20 06:00:00',
               '2005-10-20 06:15:00', '2005-10-20 06:30:00',
               '2005-10-20 06:45:00', '2005-10-20 07:00:00',
               '2005-10-20 07:15:00', '2005-10-20 07:30:00',
               '2005-10-20 07:45:00', '2005-10-20 08:00:00'],
              dtype='datetime64[ns]', length=613, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               '2005-10-01 02:30:00', '2005-10-01 02:45:00',
               '2005-10-01 03:00:00', '2005-10-01 03:15:00',
               '2005-10-01 03:30:00', '2005-10-01 03:45:00',
               '2005-10-01 04:00:00', '2005-10-01 04:15:00',
               '2005-10-01 04:30:00', '2005-10-01 04:45:00',
               '2005-10-01 05:00:00', '2005-10-01 05:15:00',
               '2005-10-01 05:30:00', '2005-10-01 05:45:00',
               '2005-10-01 06:00:00', '2005-10-01 06:15:00',
               '2005-10-01 06:30:00', '2005-10-01 06:45:00',
               '2005-10-01 07:00:00', '2005-10-01 07:15:00',
               '2005-10-01 07:30:00', '2005-10-01 07:45:00',
               '2005-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               ...
               '2005-10-31 20:45:00', '2005-10-31 21:00:00',
               '2005-10-31 21:15:00', '2005-10-31 21:30:00',
               '2005-10-31 21:45:00', '2005-10-31 22:00:00',
               '2005-10-31 22:15:00', '2005-10-31 22:30:00',
               '2005-10-31 22:45:00', '2005-10-31 23:00:00'],
              dtype='datetime64[ns]', length=675, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-10-01 00:00:00', '2005-10-01 00:15:00',
               '2005-10-01 00:30:00', '2005-10-01 00:45:00',
               '2005-10-01 01:00:00', '2005-10-01 01:15:00',
               '2005-10-01 01:30:00', '2005-10-01 01:45:00',
               '2005-10-01 02:00:00', '2005-10-01 02:15:00',
               ...
               '2005-10-31 20:45:00', '2005-10-31 21:00:00',
               '2005-10-31 21:15:00', '2005-10-31 21:30:00',
               '2005-10-31 21:45:00', '2005-10-31 22:00:00',
               '2005-10-31 22:15:00', '2005-10-31 22:30:00',
               '2005-10-31 22:45:00', '2005-10-31 23:00:00'],
              dtype='datetime64[ns]', length=287, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-10-1T00 to 2005-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-10-1T00 to 2005-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-11-01 00:00:00', '2005-11-01 00:15:00',
               '2005-11-01 00:30:00', '2005-11-01 00:45:00',
               '2005-11-01 01:00:00', '2005-11-01 01:15:00',
               '2005-11-01 01:30:00', '2005-11-01 01:45:00',
               '2005-11-01 02:00:00', '2005-11-01 02:15:00',
               ...
               '2005-11-21 06:30:00', '2005-11-21 06:45:00',
               '2005-11-21 07:00:00', '2005-11-21 07:15:00',
               '2005-11-21 07:30:00', '2005-11-21 07:45:00',
               '2005-11-21 08:00:00', '2005-11-21 08:15:00',
               '2005-11-21 08:30:00', '2005-11-21 08:45:00'],
              dtype='datetime64[ns]', length=1956, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-11-25 01:00:00', '2005-11-25 01:15:00',
               '2005-11-25 01:30:00', '2005-11-25 08:45:00',
               '2005-11-25 09:00:00', '2005-11-25 09:15:00',
               '2005-11-25 09:30:00', '2005-11-25 09:45:00',
               '2005-11-25 10:00:00', '2005-11-25 10:15:00',
               ...
               '2005-11-30 20:45:00', '2005-11-30 21:00:00',
               '2005-11-30 21:15:00', '2005-11-30 21:30:00',
               '2005-11-30 21:45:00', '2005-11-30 22:00:00',
               '2005-11-30 22:15:00', '2005-11-30 22:30:00',
               '2005-11-30 22:45:00', '2005-11-30 23:00:00'],
              dtype='datetime64[ns]', length=541, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-11-05 09:00:00', '2005-11-05 09:15:00',
               '2005-11-05 09:30:00', '2005-11-05 09:45:00',
               '2005-11-05 10:00:00', '2005-11-05 10:15:00',
               '2005-11-05 10:30:00', '2005-11-05 10:45:00',
               '2005-11-05 11:00:00', '2005-11-05 11:15:00',
               ...
               '2005-11-17 06:30:00', '2005-11-17 06:45:00',
               '2005-11-17 07:00:00', '2005-11-17 07:15:00',
               '2005-11-17 07:30:00', '2005-11-17 07:45:00',
               '2005-11-17 08:00:00', '2005-11-17 08:15:00',
               '2005-11-17 08:30:00', '2005-11-17 08:45:00'],
              dtype='datetime64[ns]', length=1152, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-11-01 00:00:00', '2005-11-01 00:15:00',
               '2005-11-01 00:30:00', '2005-11-01 00:45:00',
               '2005-11-01 01:00:00', '2005-11-01 01:15:00',
               '2005-11-01 01:30:00', '2005-11-01 01:45:00',
               '2005-11-01 02:00:00', '2005-11-01 02:15:00',
               ...
               '2005-11-30 20:45:00', '2005-11-30 21:00:00',
               '2005-11-30 21:15:00', '2005-11-30 21:30:00',
               '2005-11-30 21:45:00', '2005-11-30 22:00:00',
               '2005-11-30 22:15:00', '2005-11-30 22:30:00',
               '2005-11-30 22:45:00', '2005-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1057, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-11-01 00:00:00', '2005-11-01 00:15:00',
               '2005-11-01 00:30:00', '2005-11-01 00:45:00',
               '2005-11-01 01:00:00', '2005-11-01 01:15:00',
               '2005-11-01 01:30:00', '2005-11-01 01:45:00',
               '2005-11-01 02:00:00', '2005-11-01 02:15:00',
               '2005-11-01 02:30:00', '2005-11-01 02:45:00',
               '2005-11-01 03:00:00', '2005-11-01 03:15:00',
               '2005-11-01 03:30:00', '2005-11-01 03:45:00',
               '2005-11-01 04:00:00', '2005-11-01 04:15:00',
               '2005-11-01 04:30:00', '2005-11-01 04:45:00',
               '2005-11-01 05:00:00', '2005-11-01 05:15:00',
               '2005-11-01 05:30:00', '2005-11-01 05:45:00',
               '2005-11-01 06:00:00', '2005-11-01 06:15:00',
               '2005-11-01 06:30:00', '2005-11-01 06:45:00',
               '2005-11-01 07:00:00', '2005-11-01 07:15:00',
               '2005-11-01 07:30:00', '2005-11-01 07:45:00',
               '2005-11-01 08:00:00', '2005-11-01 08:15:00',
               '2005-11-01 08:30:00', '2005-11-01 08:45:00',
               '2005-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-11-16 09:00:00', '2005-11-16 09:15:00',
               '2005-11-16 09:30:00', '2005-11-16 09:45:00',
               '2005-11-16 10:00:00', '2005-11-16 10:15:00',
               '2005-11-16 10:30:00', '2005-11-16 10:45:00',
               '2005-11-16 11:00:00', '2005-11-16 11:15:00',
               ...
               '2005-11-30 20:45:00', '2005-11-30 21:00:00',
               '2005-11-30 21:15:00', '2005-11-30 21:30:00',
               '2005-11-30 21:45:00', '2005-11-30 22:00:00',
               '2005-11-30 22:15:00', '2005-11-30 22:30:00',
               '2005-11-30 22:45:00', '2005-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1401, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-11-01 00:00:00', '2005-11-01 00:15:00',
               '2005-11-01 00:30:00', '2005-11-01 00:45:00',
               '2005-11-01 01:00:00', '2005-11-01 01:15:00',
               '2005-11-01 01:30:00', '2005-11-01 01:45:00',
               '2005-11-01 02:00:00', '2005-11-01 02:15:00',
               ...
               '2005-11-15 06:45:00', '2005-11-15 07:00:00',
               '2005-11-15 07:15:00', '2005-11-15 07:30:00',
               '2005-11-15 07:45:00', '2005-11-15 08:00:00',
               '2005-11-15 08:15:00', '2005-11-15 08:30:00',
               '2005-11-15 08:45:00', '2005-11-15 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-11-01 00:00:00', '2005-11-01 00:15:00',
               '2005-11-01 00:30:00', '2005-11-01 00:45:00',
               '2005-11-01 01:00:00', '2005-11-01 01:15:00',
               '2005-11-01 01:30:00', '2005-11-01 01:45:00',
               '2005-11-01 02:00:00', '2005-11-01 02:15:00',
               ...
               '2005-11-30 20:45:00', '2005-11-30 21:00:00',
               '2005-11-30 21:15:00', '2005-11-30 21:30:00',
               '2005-11-30 21:45:00', '2005-11-30 22:00:00',
               '2005-11-30 22:15:00', '2005-11-30 22:30:00',
               '2005-11-30 22:45:00', '2005-11-30 23:00:00'],
              dtype='datetime64[ns]', length=479, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-11-1T00 to 2005-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-11-1T00 to 2005-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-12-01 00:00:00', '2005-12-01 00:15:00',
               '2005-12-01 00:30:00', '2005-12-01 00:45:00',
               '2005-12-01 01:00:00', '2005-12-01 01:15:00',
               '2005-12-01 01:30:00', '2005-12-01 01:45:00',
               '2005-12-01 02:00:00', '2005-12-01 02:15:00',
               ...
               '2005-12-23 06:30:00', '2005-12-23 06:45:00',
               '2005-12-23 07:00:00', '2005-12-23 07:15:00',
               '2005-12-23 07:30:00', '2005-12-23 07:45:00',
               '2005-12-23 08:00:00', '2005-12-23 08:15:00',
               '2005-12-23 08:30:00', '2005-12-23 08:45:00'],
              dtype='datetime64[ns]', length=2148, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-12-01 00:00:00', '2005-12-01 00:15:00',
               '2005-12-01 00:30:00', '2005-12-01 00:45:00',
               '2005-12-01 01:00:00', '2005-12-01 01:15:00',
               '2005-12-01 01:30:00', '2005-12-01 01:45:00',
               '2005-12-01 02:00:00', '2005-12-01 02:15:00',
               ...
               '2005-12-18 06:45:00', '2005-12-18 07:00:00',
               '2005-12-18 07:15:00', '2005-12-18 07:30:00',
               '2005-12-18 07:45:00', '2005-12-18 08:00:00',
               '2005-12-18 08:15:00', '2005-12-18 08:30:00',
               '2005-12-18 08:45:00', '2005-12-18 09:00:00'],
              dtype='datetime64[ns]', length=1099, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-12-01 00:00:00', '2005-12-01 00:15:00',
               '2005-12-01 00:30:00', '2005-12-01 00:45:00',
               '2005-12-01 01:00:00', '2005-12-01 01:15:00',
               '2005-12-01 01:30:00', '2005-12-01 01:45:00',
               '2005-12-01 02:00:00', '2005-12-01 02:15:00',
               ...
               '2005-12-19 06:30:00', '2005-12-19 06:45:00',
               '2005-12-19 07:00:00', '2005-12-19 07:15:00',
               '2005-12-19 07:30:00', '2005-12-19 07:45:00',
               '2005-12-19 08:00:00', '2005-12-19 08:15:00',
               '2005-12-19 08:30:00', '2005-12-19 08:45:00'],
              dtype='datetime64[ns]', length=1764, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-12-26 08:45:00', '2005-12-26 09:00:00',
               '2005-12-26 09:15:00', '2005-12-26 09:30:00',
               '2005-12-26 09:45:00', '2005-12-26 10:00:00',
               '2005-12-26 10:15:00', '2005-12-26 10:30:00',
               '2005-12-26 10:45:00', '2005-12-26 11:00:00',
               ...
               '2005-12-31 20:45:00', '2005-12-31 21:00:00',
               '2005-12-31 21:15:00', '2005-12-31 21:30:00',
               '2005-12-31 21:45:00', '2005-12-31 22:00:00',
               '2005-12-31 22:15:00', '2005-12-31 22:30:00',
               '2005-12-31 22:45:00', '2005-12-31 23:00:00'],
              dtype='datetime64[ns]', length=538, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-12-01 00:00:00', '2005-12-01 00:15:00',
               '2005-12-01 00:30:00', '2005-12-01 00:45:00',
               '2005-12-01 01:00:00', '2005-12-01 01:15:00',
               '2005-12-01 01:30:00', '2005-12-01 01:45:00',
               '2005-12-01 02:00:00', '2005-12-01 02:15:00',
               '2005-12-01 02:30:00', '2005-12-01 02:45:00',
               '2005-12-01 03:00:00', '2005-12-01 03:15:00',
               '2005-12-01 03:30:00', '2005-12-01 03:45:00',
               '2005-12-01 04:00:00', '2005-12-01 04:15:00',
               '2005-12-01 04:30:00', '2005-12-01 04:45:00',
               '2005-12-01 05:00:00', '2005-12-01 05:15:00',
               '2005-12-01 05:30:00', '2005-12-01 05:45:00',
               '2005-12-01 06:00:00', '2005-12-01 06:15:00',
               '2005-12-01 06:30:00', '2005-12-01 06:45:00',
               '2005-12-01 07:00:00', '2005-12-01 07:15:00',
               '2005-12-01 07:30:00', '2005-12-01 07:45:00',
               '2005-12-01 08:00:00', '2005-12-01 08:15:00',
               '2005-12-01 08:30:00', '2005-12-01 08:45:00',
               '2005-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2005-12-01 00:00:00', '2005-12-01 00:15:00',
               '2005-12-01 00:30:00', '2005-12-01 00:45:00',
               '2005-12-01 01:00:00', '2005-12-01 01:15:00',
               '2005-12-01 01:30:00', '2005-12-01 01:45:00',
               '2005-12-01 02:00:00', '2005-12-01 02:15:00',
               ...
               '2005-12-31 20:45:00', '2005-12-31 21:00:00',
               '2005-12-31 21:15:00', '2005-12-31 21:30:00',
               '2005-12-31 21:45:00', '2005-12-31 22:00:00',
               '2005-12-31 22:15:00', '2005-12-31 22:30:00',
               '2005-12-31 22:45:00', '2005-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1057, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2005-12-01 00:00:00', '2005-12-01 00:15:00',
               '2005-12-01 00:30:00', '2005-12-01 00:45:00',
               '2005-12-01 01:00:00', '2005-12-01 01:15:00',
               '2005-12-01 01:30:00', '2005-12-01 01:45:00',
               '2005-12-01 02:00:00', '2005-12-01 02:15:00',
               ...
               '2005-12-11 06:30:00', '2005-12-11 06:45:00',
               '2005-12-11 07:00:00', '2005-12-11 07:15:00',
               '2005-12-11 07:30:00', '2005-12-11 07:45:00',
               '2005-12-11 08:00:00', '2005-12-11 08:15:00',
               '2005-12-11 08:30:00', '2005-12-11 08:45:00'],
              dtype='datetime64[ns]', length=996, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2005-12-1T00 to 2005-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2005-12-1T00 to 2005-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2006

year = 2006
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-01-02 09:00:00', '2006-01-02 09:15:00',
               '2006-01-02 09:30:00', '2006-01-02 09:45:00',
               '2006-01-02 10:00:00', '2006-01-02 10:15:00',
               '2006-01-02 10:30:00', '2006-01-02 10:45:00',
               '2006-01-02 11:00:00', '2006-01-02 11:15:00',
               ...
               '2006-01-31 20:45:00', '2006-01-31 21:00:00',
               '2006-01-31 21:15:00', '2006-01-31 21:30:00',
               '2006-01-31 21:45:00', '2006-01-31 22:00:00',
               '2006-01-31 22:15:00', '2006-01-31 22:30:00',
               '2006-01-31 22:45:00', '2006-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2841, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-01-01 00:00:00', '2006-01-01 00:15:00',
               '2006-01-01 00:30:00', '2006-01-01 00:45:00',
               '2006-01-01 01:00:00', '2006-01-01 01:15:00',
               '2006-01-01 01:30:00', '2006-01-01 01:45:00',
               '2006-01-01 02:00:00', '2006-01-01 02:15:00',
               '2006-01-01 02:30:00', '2006-01-01 02:45:00',
               '2006-01-01 03:00:00', '2006-01-01 03:15:00',
               '2006-01-01 03:30:00', '2006-01-01 03:45:00',
               '2006-01-01 04:00:00', '2006-01-01 04:15:00',
               '2006-01-01 04:30:00', '2006-01-01 04:45:00',
               '2006-01-01 05:00:00', '2006-01-01 05:15:00',
               '2006-01-01 05:30:00', '2006-01-01 05:45:00',
               '2006-01-01 06:00:00', '2006-01-01 06:15:00',
               '2006-01-01 06:30:00', '2006-01-01 06:45:00',
               '2006-01-01 07:00:00', '2006-01-01 07:15:00',
               '2006-01-01 07:30:00', '2006-01-01 07:45:00',
               '2006-01-01 08:00:00', '2006-01-01 08:15:00',
               '2006-01-01 08:30:00', '2006-01-01 08:45:00',
               '2006-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-01-01 00:00:00', '2006-01-01 00:15:00',
               '2006-01-01 00:30:00', '2006-01-01 00:45:00',
               '2006-01-01 01:00:00', '2006-01-01 01:15:00',
               '2006-01-01 01:30:00', '2006-01-01 01:45:00',
               '2006-01-01 02:00:00', '2006-01-01 02:15:00',
               ...
               '2006-01-31 20:45:00', '2006-01-31 21:00:00',
               '2006-01-31 21:15:00', '2006-01-31 21:30:00',
               '2006-01-31 21:45:00', '2006-01-31 22:00:00',
               '2006-01-31 22:15:00', '2006-01-31 22:30:00',
               '2006-01-31 22:45:00', '2006-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1927, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-01-01 00:00:00', '2006-01-01 00:15:00',
               '2006-01-01 00:30:00', '2006-01-01 00:45:00',
               '2006-01-01 01:00:00', '2006-01-01 01:15:00',
               '2006-01-01 01:30:00', '2006-01-01 01:45:00',
               '2006-01-01 02:00:00', '2006-01-01 02:15:00',
               ...
               '2006-01-31 20:45:00', '2006-01-31 21:00:00',
               '2006-01-31 21:15:00', '2006-01-31 21:30:00',
               '2006-01-31 21:45:00', '2006-01-31 22:00:00',
               '2006-01-31 22:15:00', '2006-01-31 22:30:00',
               '2006-01-31 22:45:00', '2006-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-01-01 00:00:00', '2006-01-01 00:15:00',
               '2006-01-01 00:30:00', '2006-01-01 00:45:00',
               '2006-01-01 01:00:00', '2006-01-01 01:15:00',
               '2006-01-01 01:30:00', '2006-01-01 01:45:00',
               '2006-01-01 02:00:00', '2006-01-01 02:15:00',
               '2006-01-01 02:30:00', '2006-01-01 02:45:00',
               '2006-01-01 03:00:00', '2006-01-01 03:15:00',
               '2006-01-01 03:30:00', '2006-01-01 03:45:00',
               '2006-01-01 04:00:00', '2006-01-01 04:15:00',
               '2006-01-01 04:30:00', '2006-01-01 04:45:00',
               '2006-01-01 05:00:00', '2006-01-01 05:15:00',
               '2006-01-01 05:30:00', '2006-01-01 05:45:00',
               '2006-01-01 06:00:00', '2006-01-01 06:15:00',
               '2006-01-01 06:30:00', '2006-01-01 06:45:00',
               '2006-01-01 07:00:00', '2006-01-01 07:15:00',
               '2006-01-01 07:30:00', '2006-01-01 07:45:00',
               '2006-01-01 08:00:00', '2006-01-01 08:15:00',
               '2006-01-01 08:30:00', '2006-01-01 08:45:00',
               '2006-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-01-11 09:00:00', '2006-01-11 09:15:00',
               '2006-01-11 09:30:00', '2006-01-11 09:45:00',
               '2006-01-11 10:00:00', '2006-01-11 10:15:00',
               '2006-01-11 10:30:00', '2006-01-11 10:45:00',
               '2006-01-11 11:00:00', '2006-01-11 11:15:00',
               ...
               '2006-01-31 20:45:00', '2006-01-31 21:00:00',
               '2006-01-31 21:15:00', '2006-01-31 21:30:00',
               '2006-01-31 21:45:00', '2006-01-31 22:00:00',
               '2006-01-31 22:15:00', '2006-01-31 22:30:00',
               '2006-01-31 22:45:00', '2006-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-01-01 00:00:00', '2006-01-01 00:15:00',
               '2006-01-01 00:30:00', '2006-01-01 00:45:00',
               '2006-01-01 01:00:00', '2006-01-01 01:15:00',
               '2006-01-01 01:30:00', '2006-01-01 01:45:00',
               '2006-01-01 02:00:00', '2006-01-01 02:15:00',
               ...
               '2006-01-08 06:45:00', '2006-01-08 07:00:00',
               '2006-01-08 07:15:00', '2006-01-08 07:30:00',
               '2006-01-08 07:45:00', '2006-01-08 08:00:00',
               '2006-01-08 08:15:00', '2006-01-08 08:30:00',
               '2006-01-08 08:45:00', '2006-01-08 09:00:00'],
              dtype='datetime64[ns]', length=615, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-01-04 09:00:00', '2006-01-04 09:15:00',
               '2006-01-04 09:30:00', '2006-01-04 09:45:00',
               '2006-01-04 10:00:00', '2006-01-04 10:15:00',
               '2006-01-04 10:30:00', '2006-01-04 10:45:00',
               '2006-01-04 11:00:00', '2006-01-04 11:15:00',
               ...
               '2006-01-31 20:45:00', '2006-01-31 21:00:00',
               '2006-01-31 21:15:00', '2006-01-31 21:30:00',
               '2006-01-31 21:45:00', '2006-01-31 22:00:00',
               '2006-01-31 22:15:00', '2006-01-31 22:30:00',
               '2006-01-31 22:45:00', '2006-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2649, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-01-01 00:00:00', '2006-01-01 00:15:00',
               '2006-01-01 00:30:00', '2006-01-01 00:45:00',
               '2006-01-01 01:00:00', '2006-01-01 01:15:00',
               '2006-01-01 01:30:00', '2006-01-01 01:45:00',
               '2006-01-01 02:00:00', '2006-01-01 02:15:00',
               '2006-01-01 02:30:00', '2006-01-01 02:45:00',
               '2006-01-01 03:00:00', '2006-01-01 03:15:00',
               '2006-01-01 03:30:00', '2006-01-01 03:45:00',
               '2006-01-01 04:00:00', '2006-01-01 04:15:00',
               '2006-01-01 04:30:00', '2006-01-01 04:45:00',
               '2006-01-01 05:00:00', '2006-01-01 05:15:00',
               '2006-01-01 05:30:00', '2006-01-01 05:45:00',
               '2006-01-01 06:00:00', '2006-01-01 06:15:00',
               '2006-01-01 06:30:00', '2006-01-01 06:45:00',
               '2006-01-01 07:00:00', '2006-01-01 07:15:00',
               '2006-01-01 07:30:00', '2006-01-01 07:45:00',
               '2006-01-01 08:00:00', '2006-01-01 08:15:00',
               '2006-01-01 08:30:00', '2006-01-01 08:45:00',
               '2006-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-1-1T00 to 2006-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-1-1T00 to 2006-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-02-01 00:00:00', '2006-02-01 00:15:00',
               '2006-02-01 00:30:00', '2006-02-01 00:45:00',
               '2006-02-01 01:00:00', '2006-02-01 01:15:00',
               '2006-02-01 01:30:00', '2006-02-01 01:45:00',
               '2006-02-01 02:00:00', '2006-02-01 02:15:00',
               ...
               '2006-02-28 20:45:00', '2006-02-28 21:00:00',
               '2006-02-28 21:15:00', '2006-02-28 21:30:00',
               '2006-02-28 21:45:00', '2006-02-28 22:00:00',
               '2006-02-28 22:15:00', '2006-02-28 22:30:00',
               '2006-02-28 22:45:00', '2006-02-28 23:00:00'],
              dtype='datetime64[ns]', length=961, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-02-01 00:00:00', '2006-02-01 00:15:00',
               '2006-02-01 00:30:00', '2006-02-01 00:45:00',
               '2006-02-01 01:00:00', '2006-02-01 01:15:00',
               '2006-02-01 01:30:00', '2006-02-01 01:45:00',
               '2006-02-01 02:00:00', '2006-02-01 02:15:00',
               '2006-02-01 02:30:00', '2006-02-01 02:45:00',
               '2006-02-01 03:00:00', '2006-02-01 03:15:00',
               '2006-02-01 03:30:00', '2006-02-01 03:45:00',
               '2006-02-01 04:00:00', '2006-02-01 04:15:00',
               '2006-02-01 04:30:00', '2006-02-01 04:45:00',
               '2006-02-01 05:00:00', '2006-02-01 05:15:00',
               '2006-02-01 05:30:00', '2006-02-01 05:45:00',
               '2006-02-01 06:00:00', '2006-02-01 06:15:00',
               '2006-02-01 06:30:00', '2006-02-01 06:45:00',
               '2006-02-01 07:00:00', '2006-02-01 07:15:00',
               '2006-02-01 07:30:00', '2006-02-01 07:45:00',
               '2006-02-01 08:00:00', '2006-02-01 08:15:00',
               '2006-02-01 08:30:00', '2006-02-01 08:45:00',
               '2006-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-02-01 00:00:00', '2006-02-01 00:15:00',
               '2006-02-01 00:30:00', '2006-02-01 00:45:00',
               '2006-02-01 01:00:00', '2006-02-01 01:15:00',
               '2006-02-01 01:30:00', '2006-02-01 01:45:00',
               '2006-02-01 02:00:00', '2006-02-01 02:15:00',
               ...
               '2006-02-14 06:30:00', '2006-02-14 06:45:00',
               '2006-02-14 07:00:00', '2006-02-14 07:15:00',
               '2006-02-14 07:30:00', '2006-02-14 07:45:00',
               '2006-02-14 08:00:00', '2006-02-14 08:15:00',
               '2006-02-14 08:30:00', '2006-02-14 08:45:00'],
              dtype='datetime64[ns]', length=1284, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-02-21 08:45:00', '2006-02-21 09:00:00',
               '2006-02-21 09:15:00', '2006-02-21 09:30:00',
               '2006-02-21 09:45:00', '2006-02-21 10:00:00',
               '2006-02-21 10:15:00', '2006-02-21 10:30:00',
               '2006-02-21 10:45:00', '2006-02-21 11:00:00',
               ...
               '2006-02-28 20:45:00', '2006-02-28 21:00:00',
               '2006-02-28 21:15:00', '2006-02-28 21:30:00',
               '2006-02-28 21:45:00', '2006-02-28 22:00:00',
               '2006-02-28 22:15:00', '2006-02-28 22:30:00',
               '2006-02-28 22:45:00', '2006-02-28 23:00:00'],
              dtype='datetime64[ns]', length=730, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-2-1T00 to 2006-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-2-1T00 to 2006-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-03-01 00:00:00', '2006-03-01 00:15:00',
               '2006-03-01 00:30:00', '2006-03-01 00:45:00',
               '2006-03-01 01:00:00', '2006-03-01 01:15:00',
               '2006-03-01 01:30:00', '2006-03-01 01:45:00',
               '2006-03-01 02:00:00', '2006-03-01 02:15:00',
               ...
               '2006-03-28 06:30:00', '2006-03-28 06:45:00',
               '2006-03-28 07:00:00', '2006-03-28 07:15:00',
               '2006-03-28 07:30:00', '2006-03-28 07:45:00',
               '2006-03-28 08:00:00', '2006-03-28 08:15:00',
               '2006-03-28 08:30:00', '2006-03-28 08:45:00'],
              dtype='datetime64[ns]', length=1764, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-03-01 00:00:00', '2006-03-01 00:15:00',
               '2006-03-01 00:30:00', '2006-03-01 00:45:00',
               '2006-03-01 01:00:00', '2006-03-01 01:15:00',
               '2006-03-01 01:30:00', '2006-03-01 01:45:00',
               '2006-03-01 02:00:00', '2006-03-01 02:15:00',
               ...
               '2006-03-25 06:30:00', '2006-03-25 06:45:00',
               '2006-03-25 07:00:00', '2006-03-25 07:15:00',
               '2006-03-25 07:30:00', '2006-03-25 07:45:00',
               '2006-03-25 08:00:00', '2006-03-25 08:15:00',
               '2006-03-25 08:30:00', '2006-03-25 08:45:00'],
              dtype='datetime64[ns]', length=2340, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-03-01 00:00:00', '2006-03-01 00:15:00',
               '2006-03-01 00:30:00', '2006-03-01 00:45:00',
               '2006-03-01 01:00:00', '2006-03-01 01:15:00',
               '2006-03-01 01:30:00', '2006-03-01 01:45:00',
               '2006-03-01 02:00:00', '2006-03-01 02:15:00',
               '2006-03-01 02:30:00', '2006-03-01 02:45:00',
               '2006-03-01 03:00:00', '2006-03-01 03:15:00',
               '2006-03-01 03:30:00', '2006-03-01 03:45:00',
               '2006-03-01 04:00:00', '2006-03-01 04:15:00',
               '2006-03-01 04:30:00', '2006-03-01 04:45:00',
               '2006-03-01 05:00:00', '2006-03-01 05:15:00',
               '2006-03-01 05:30:00', '2006-03-01 05:45:00',
               '2006-03-01 06:00:00', '2006-03-01 06:15:00',
               '2006-03-01 06:30:00', '2006-03-01 06:45:00',
               '2006-03-01 07:00:00', '2006-03-01 07:15:00',
               '2006-03-01 07:30:00', '2006-03-01 07:45:00',
               '2006-03-01 08:00:00', '2006-03-01 08:15:00',
               '2006-03-01 08:30:00', '2006-03-01 08:45:00',
               '2006-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-03-09 09:00:00', '2006-03-09 09:15:00',
               '2006-03-09 09:30:00', '2006-03-09 09:45:00',
               '2006-03-09 10:00:00', '2006-03-09 10:15:00',
               '2006-03-09 10:30:00', '2006-03-09 10:45:00',
               '2006-03-09 11:00:00', '2006-03-09 11:15:00',
               ...
               '2006-03-20 06:30:00', '2006-03-20 06:45:00',
               '2006-03-20 07:00:00', '2006-03-20 07:15:00',
               '2006-03-20 07:30:00', '2006-03-20 07:45:00',
               '2006-03-20 08:00:00', '2006-03-20 08:15:00',
               '2006-03-20 08:30:00', '2006-03-20 08:45:00'],
              dtype='datetime64[ns]', length=1056, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-03-01 00:00:00', '2006-03-01 00:15:00',
               '2006-03-01 00:30:00', '2006-03-01 00:45:00',
               '2006-03-01 01:00:00', '2006-03-01 01:15:00',
               '2006-03-01 01:30:00', '2006-03-01 01:45:00',
               '2006-03-01 02:00:00', '2006-03-01 02:15:00',
               ...
               '2006-03-31 20:45:00', '2006-03-31 21:00:00',
               '2006-03-31 21:15:00', '2006-03-31 21:30:00',
               '2006-03-31 21:45:00', '2006-03-31 22:00:00',
               '2006-03-31 22:15:00', '2006-03-31 22:30:00',
               '2006-03-31 22:45:00', '2006-03-31 23:00:00'],
              dtype='datetime64[ns]', length=863, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-03-01 00:00:00', '2006-03-01 00:15:00',
               '2006-03-01 00:30:00', '2006-03-01 00:45:00',
               '2006-03-01 01:00:00', '2006-03-01 01:15:00',
               '2006-03-01 01:30:00', '2006-03-01 01:45:00',
               '2006-03-01 02:00:00', '2006-03-01 02:15:00',
               ...
               '2006-03-31 06:30:00', '2006-03-31 06:45:00',
               '2006-03-31 07:00:00', '2006-03-31 07:15:00',
               '2006-03-31 07:30:00', '2006-03-31 07:45:00',
               '2006-03-31 08:00:00', '2006-03-31 08:15:00',
               '2006-03-31 08:30:00', '2006-03-31 08:45:00'],
              dtype='datetime64[ns]', length=2916, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-03-01 00:00:00', '2006-03-01 00:15:00',
               '2006-03-01 00:30:00', '2006-03-01 00:45:00',
               '2006-03-01 01:00:00', '2006-03-01 01:15:00',
               '2006-03-01 01:30:00', '2006-03-01 01:45:00',
               '2006-03-01 02:00:00', '2006-03-01 02:15:00',
               ...
               '2006-03-24 06:30:00', '2006-03-24 06:45:00',
               '2006-03-24 07:00:00', '2006-03-24 07:15:00',
               '2006-03-24 07:30:00', '2006-03-24 07:45:00',
               '2006-03-24 08:00:00', '2006-03-24 08:15:00',
               '2006-03-24 08:30:00', '2006-03-24 08:45:00'],
              dtype='datetime64[ns]', length=2244, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-3-1T00 to 2006-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-3-1T00 to 2006-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-04-01 00:00:00', '2006-04-01 00:15:00',
               '2006-04-01 00:30:00', '2006-04-01 00:45:00',
               '2006-04-01 01:00:00', '2006-04-01 01:15:00',
               '2006-04-01 01:30:00', '2006-04-01 01:45:00',
               '2006-04-01 02:00:00', '2006-04-01 02:15:00',
               ...
               '2006-04-21 05:30:00', '2006-04-21 05:45:00',
               '2006-04-21 06:00:00', '2006-04-21 06:15:00',
               '2006-04-21 06:30:00', '2006-04-21 06:45:00',
               '2006-04-21 07:00:00', '2006-04-21 07:15:00',
               '2006-04-21 07:30:00', '2006-04-21 07:45:00'],
              dtype='datetime64[ns]', length=1952, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-04-01 00:00:00', '2006-04-01 00:15:00',
               '2006-04-01 00:30:00', '2006-04-01 00:45:00',
               '2006-04-01 01:00:00', '2006-04-01 01:15:00',
               '2006-04-01 01:30:00', '2006-04-01 01:45:00',
               '2006-04-01 02:00:00', '2006-04-01 02:15:00',
               '2006-04-01 02:30:00', '2006-04-01 02:45:00',
               '2006-04-01 03:00:00', '2006-04-01 03:15:00',
               '2006-04-01 03:30:00', '2006-04-01 03:45:00',
               '2006-04-01 04:00:00', '2006-04-01 04:15:00',
               '2006-04-01 04:30:00', '2006-04-01 04:45:00',
               '2006-04-01 05:00:00', '2006-04-01 05:15:00',
               '2006-04-01 05:30:00', '2006-04-01 05:45:00',
               '2006-04-01 06:00:00', '2006-04-01 06:15:00',
               '2006-04-01 06:30:00', '2006-04-01 06:45:00',
               '2006-04-01 07:00:00', '2006-04-01 07:15:00',
               '2006-04-01 07:30:00', '2006-04-01 07:45:00',
               '2006-04-01 08:00:00', '2006-04-01 08:15:00',
               '2006-04-01 08:30:00', '2006-04-01 08:45:00',
               '2006-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-04-01 00:00:00', '2006-04-01 00:15:00',
               '2006-04-01 00:30:00', '2006-04-01 00:45:00',
               '2006-04-01 01:00:00', '2006-04-01 01:15:00',
               '2006-04-01 01:30:00', '2006-04-01 01:45:00',
               '2006-04-01 02:00:00', '2006-04-01 02:15:00',
               '2006-04-01 02:30:00', '2006-04-01 02:45:00',
               '2006-04-01 03:00:00', '2006-04-01 03:15:00',
               '2006-04-01 03:30:00', '2006-04-01 03:45:00',
               '2006-04-01 04:00:00', '2006-04-01 04:15:00',
               '2006-04-01 04:30:00', '2006-04-01 04:45:00',
               '2006-04-01 05:00:00', '2006-04-01 05:15:00',
               '2006-04-01 05:30:00', '2006-04-01 05:45:00',
               '2006-04-01 06:00:00', '2006-04-01 06:15:00',
               '2006-04-01 06:30:00', '2006-04-01 06:45:00',
               '2006-04-01 07:00:00', '2006-04-01 07:15:00',
               '2006-04-01 07:30:00', '2006-04-01 07:45:00',
               '2006-04-01 08:00:00', '2006-04-01 08:15:00',
               '2006-04-01 08:30:00', '2006-04-01 08:45:00',
               '2006-04-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-04-01 00:00:00', '2006-04-01 00:15:00',
               '2006-04-01 00:30:00', '2006-04-01 00:45:00',
               '2006-04-01 01:00:00', '2006-04-01 01:15:00',
               '2006-04-01 01:30:00', '2006-04-01 01:45:00',
               '2006-04-01 02:00:00', '2006-04-01 02:15:00',
               '2006-04-01 02:30:00', '2006-04-01 02:45:00',
               '2006-04-01 03:00:00', '2006-04-01 03:15:00',
               '2006-04-01 03:30:00', '2006-04-01 03:45:00',
               '2006-04-01 04:00:00', '2006-04-01 04:15:00',
               '2006-04-01 04:30:00', '2006-04-01 04:45:00',
               '2006-04-01 05:00:00', '2006-04-01 05:15:00',
               '2006-04-01 05:30:00', '2006-04-01 05:45:00',
               '2006-04-01 06:00:00', '2006-04-01 06:15:00',
               '2006-04-01 06:30:00', '2006-04-01 06:45:00',
               '2006-04-01 07:00:00', '2006-04-01 07:15:00',
               '2006-04-01 07:30:00', '2006-04-01 07:45:00',
               '2006-04-01 08:00:00', '2006-04-01 08:15:00',
               '2006-04-01 08:30:00', '2006-04-01 08:45:00',
               '2006-04-01 09:00:00', '2006-04-18 21:30:00',
               '2006-04-18 21:45:00', '2006-04-18 22:00:00',
               '2006-04-18 22:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-04-01 00:00:00', '2006-04-01 00:15:00',
               '2006-04-01 00:30:00', '2006-04-01 00:45:00',
               '2006-04-01 01:00:00', '2006-04-01 01:15:00',
               '2006-04-01 01:30:00', '2006-04-01 01:45:00',
               '2006-04-01 02:00:00', '2006-04-01 02:15:00',
               ...
               '2006-04-30 05:45:00', '2006-04-30 06:00:00',
               '2006-04-30 06:15:00', '2006-04-30 06:30:00',
               '2006-04-30 06:45:00', '2006-04-30 07:00:00',
               '2006-04-30 07:15:00', '2006-04-30 07:30:00',
               '2006-04-30 07:45:00', '2006-04-30 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-04-01 00:00:00', '2006-04-01 00:15:00',
               '2006-04-01 00:30:00', '2006-04-01 00:45:00',
               '2006-04-01 01:00:00', '2006-04-01 01:15:00',
               '2006-04-01 01:30:00', '2006-04-01 01:45:00',
               '2006-04-01 02:00:00', '2006-04-01 02:15:00',
               '2006-04-01 02:30:00', '2006-04-01 02:45:00',
               '2006-04-01 03:00:00', '2006-04-01 03:15:00',
               '2006-04-01 03:30:00', '2006-04-01 03:45:00',
               '2006-04-01 04:00:00', '2006-04-01 04:15:00',
               '2006-04-01 04:30:00', '2006-04-01 04:45:00',
               '2006-04-01 05:00:00', '2006-04-01 05:15:00',
               '2006-04-01 05:30:00', '2006-04-01 05:45:00',
               '2006-04-01 06:00:00', '2006-04-01 06:15:00',
               '2006-04-01 06:30:00', '2006-04-01 06:45:00',
               '2006-04-01 07:00:00', '2006-04-01 07:15:00',
               '2006-04-01 07:30:00', '2006-04-01 07:45:00',
               '2006-04-01 08:00:00', '2006-04-01 08:15:00',
               '2006-04-01 08:30:00', '2006-04-01 08:45:00',
               '2006-04-01 09:00:00', '2006-04-09 09:15:00',
               '2006-04-09 09:30:00', '2006-04-09 09:45:00',
               '2006-04-20 08:30:00', '2006-04-20 08:45:00',
               '2006-04-20 09:00:00', '2006-04-20 16:30:00',
               '2006-04-20 16:45:00', '2006-04-20 17:00:00',
               '2006-04-27 11:30:00', '2006-04-27 11:45:00',
               '2006-04-27 12:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-04-01 00:00:00', '2006-04-01 00:15:00',
               '2006-04-01 00:30:00', '2006-04-01 00:45:00',
               '2006-04-01 01:00:00', '2006-04-01 01:15:00',
               '2006-04-01 01:30:00', '2006-04-01 01:45:00',
               '2006-04-01 02:00:00', '2006-04-01 02:15:00',
               ...
               '2006-04-17 05:45:00', '2006-04-17 06:00:00',
               '2006-04-17 06:15:00', '2006-04-17 06:30:00',
               '2006-04-17 06:45:00', '2006-04-17 07:00:00',
               '2006-04-17 07:15:00', '2006-04-17 07:30:00',
               '2006-04-17 07:45:00', '2006-04-17 08:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-4-1T00 to 2006-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-4-1T00 to 2006-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               '2006-05-01 02:30:00', '2006-05-01 02:45:00',
               '2006-05-01 03:00:00', '2006-05-01 03:15:00',
               '2006-05-01 03:30:00', '2006-05-01 03:45:00',
               '2006-05-01 04:00:00', '2006-05-01 04:15:00',
               '2006-05-01 04:30:00', '2006-05-01 04:45:00',
               '2006-05-01 05:00:00', '2006-05-01 05:15:00',
               '2006-05-01 05:30:00', '2006-05-01 05:45:00',
               '2006-05-01 06:00:00', '2006-05-01 06:15:00',
               '2006-05-01 06:30:00', '2006-05-01 06:45:00',
               '2006-05-01 07:00:00', '2006-05-01 07:15:00',
               '2006-05-01 07:30:00', '2006-05-01 07:45:00',
               '2006-05-01 08:00:00', '2006-05-28 16:30:00',
               '2006-05-28 16:45:00', '2006-05-28 17:00:00',
               '2006-05-30 21:30:00', '2006-05-30 21:45:00',
               '2006-05-30 22:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               '2006-05-01 02:30:00', '2006-05-01 02:45:00',
               '2006-05-01 03:00:00', '2006-05-01 03:15:00',
               '2006-05-01 03:30:00', '2006-05-01 03:45:00',
               '2006-05-01 04:00:00', '2006-05-01 04:15:00',
               '2006-05-01 04:30:00', '2006-05-01 04:45:00',
               '2006-05-01 05:00:00', '2006-05-01 05:15:00',
               '2006-05-01 05:30:00', '2006-05-01 05:45:00',
               '2006-05-01 06:00:00', '2006-05-01 06:15:00',
               '2006-05-01 06:30:00', '2006-05-01 06:45:00',
               '2006-05-01 07:00:00', '2006-05-01 07:15:00',
               '2006-05-01 07:30:00', '2006-05-01 07:45:00',
               '2006-05-01 08:00:00', '2006-05-14 17:00:00',
               '2006-05-14 17:15:00', '2006-05-14 17:30:00',
               '2006-05-14 17:45:00', '2006-05-14 18:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               ...
               '2006-05-09 05:30:00', '2006-05-09 05:45:00',
               '2006-05-09 06:00:00', '2006-05-09 06:15:00',
               '2006-05-09 06:30:00', '2006-05-09 06:45:00',
               '2006-05-09 07:00:00', '2006-05-09 07:15:00',
               '2006-05-09 07:30:00', '2006-05-09 07:45:00'],
              dtype='datetime64[ns]', length=800, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-09 08:15:00', '2006-05-09 08:30:00',
               '2006-05-09 08:45:00', '2006-05-09 09:00:00',
               '2006-05-09 09:15:00', '2006-05-09 09:30:00',
               '2006-05-09 09:45:00', '2006-05-09 10:00:00',
               '2006-05-09 10:15:00', '2006-05-09 10:30:00',
               ...
               '2006-05-31 20:45:00', '2006-05-31 21:00:00',
               '2006-05-31 21:15:00', '2006-05-31 21:30:00',
               '2006-05-31 21:45:00', '2006-05-31 22:00:00',
               '2006-05-31 22:15:00', '2006-05-31 22:30:00',
               '2006-05-31 22:45:00', '2006-05-31 23:00:00'],
              dtype='datetime64[ns]', length=2150, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               ...
               '2006-05-23 05:45:00', '2006-05-23 06:00:00',
               '2006-05-23 06:15:00', '2006-05-23 06:30:00',
               '2006-05-23 06:45:00', '2006-05-23 07:00:00',
               '2006-05-23 07:15:00', '2006-05-23 07:30:00',
               '2006-05-23 07:45:00', '2006-05-23 08:00:00'],
              dtype='datetime64[ns]', length=422, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               '2006-05-01 02:30:00', '2006-05-01 02:45:00',
               '2006-05-01 03:00:00', '2006-05-01 03:15:00',
               '2006-05-01 03:30:00', '2006-05-01 03:45:00',
               '2006-05-01 04:00:00', '2006-05-01 04:15:00',
               '2006-05-01 04:30:00', '2006-05-01 04:45:00',
               '2006-05-01 05:00:00', '2006-05-01 05:15:00',
               '2006-05-01 05:30:00', '2006-05-01 05:45:00',
               '2006-05-01 06:00:00', '2006-05-01 06:15:00',
               '2006-05-01 06:30:00', '2006-05-01 06:45:00',
               '2006-05-01 07:00:00', '2006-05-01 07:15:00',
               '2006-05-01 07:30:00', '2006-05-01 07:45:00',
               '2006-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               ...
               '2006-05-03 05:45:00', '2006-05-03 06:00:00',
               '2006-05-03 06:15:00', '2006-05-03 06:30:00',
               '2006-05-03 06:45:00', '2006-05-03 07:00:00',
               '2006-05-03 07:15:00', '2006-05-03 07:30:00',
               '2006-05-03 07:45:00', '2006-05-03 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               '2006-05-01 02:30:00', '2006-05-01 02:45:00',
               '2006-05-01 03:00:00', '2006-05-01 03:15:00',
               '2006-05-01 03:30:00', '2006-05-01 03:45:00',
               '2006-05-01 04:00:00', '2006-05-01 04:15:00',
               '2006-05-01 04:30:00', '2006-05-01 04:45:00',
               '2006-05-01 05:00:00', '2006-05-01 05:15:00',
               '2006-05-01 05:30:00', '2006-05-01 05:45:00',
               '2006-05-01 06:00:00', '2006-05-01 06:15:00',
               '2006-05-01 06:30:00', '2006-05-01 06:45:00',
               '2006-05-01 07:00:00', '2006-05-01 07:15:00',
               '2006-05-01 07:30:00', '2006-05-01 07:45:00',
               '2006-05-01 08:00:00', '2006-05-04 04:15:00',
               '2006-05-04 04:30:00', '2006-05-04 04:45:00',
               '2006-05-04 19:00:00', '2006-05-04 19:15:00',
               '2006-05-04 19:30:00', '2006-05-08 21:30:00',
               '2006-05-08 21:45:00', '2006-05-08 22:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               ...
               '2006-05-08 05:45:00', '2006-05-08 06:00:00',
               '2006-05-08 06:15:00', '2006-05-08 06:30:00',
               '2006-05-08 06:45:00', '2006-05-08 07:00:00',
               '2006-05-08 07:15:00', '2006-05-08 07:30:00',
               '2006-05-08 07:45:00', '2006-05-08 08:00:00'],
              dtype='datetime64[ns]', length=705, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               ...
               '2006-05-03 08:00:00', '2006-05-27 02:45:00',
               '2006-05-27 03:00:00', '2006-05-27 03:15:00',
               '2006-05-27 13:45:00', '2006-05-27 14:00:00',
               '2006-05-27 14:15:00', '2006-05-27 18:15:00',
               '2006-05-27 18:30:00', '2006-05-27 18:45:00'],
              dtype='datetime64[ns]', length=140, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               ...
               '2006-05-18 05:30:00', '2006-05-18 05:45:00',
               '2006-05-18 06:00:00', '2006-05-18 06:15:00',
               '2006-05-18 06:30:00', '2006-05-18 06:45:00',
               '2006-05-18 07:00:00', '2006-05-18 07:15:00',
               '2006-05-18 07:30:00', '2006-05-18 07:45:00'],
              dtype='datetime64[ns]', length=1664, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-20 07:45:00', '2006-05-20 08:00:00',
               '2006-05-20 08:15:00', '2006-05-20 08:30:00',
               '2006-05-20 08:45:00', '2006-05-20 09:00:00',
               '2006-05-20 09:15:00', '2006-05-20 09:30:00',
               '2006-05-20 09:45:00', '2006-05-20 10:00:00',
               '2006-05-20 10:15:00', '2006-05-20 10:30:00',
               '2006-05-20 10:45:00', '2006-05-20 11:00:00',
               '2006-05-20 11:15:00', '2006-05-20 11:30:00',
               '2006-05-20 11:45:00', '2006-05-20 12:00:00',
               '2006-05-20 12:15:00', '2006-05-20 12:30:00',
               '2006-05-20 12:45:00', '2006-05-20 13:00:00',
               '2006-05-20 13:15:00', '2006-05-20 13:30:00',
               '2006-05-20 13:45:00', '2006-05-20 14:00:00',
               '2006-05-20 14:15:00', '2006-05-20 14:30:00',
               '2006-05-20 14:45:00', '2006-05-20 15:00:00',
               '2006-05-20 15:15:00', '2006-05-20 15:30:00',
               '2006-05-20 15:45:00', '2006-05-20 16:00:00',
               '2006-05-20 16:15:00', '2006-05-20 16:30:00',
               '2006-05-20 16:45:00', '2006-05-20 17:00:00',
               '2006-05-20 17:15:00', '2006-05-20 17:30:00',
               '2006-05-20 17:45:00', '2006-05-20 18:00:00',
               '2006-05-20 18:15:00', '2006-05-20 18:30:00',
               '2006-05-20 18:45:00', '2006-05-20 19:00:00',
               '2006-05-20 19:15:00', '2006-05-20 19:30:00',
               '2006-05-20 19:45:00', '2006-05-20 20:00:00',
               '2006-05-20 20:15:00', '2006-05-20 20:30:00',
               '2006-05-20 20:45:00', '2006-05-20 21:00:00',
               '2006-05-20 21:15:00', '2006-05-20 21:30:00',
               '2006-05-20 21:45:00', '2006-05-20 22:00:00',
               '2006-05-20 22:15:00', '2006-05-20 22:30:00',
               '2006-05-20 22:45:00', '2006-05-20 23:00:00',
               '2006-05-20 23:15:00', '2006-05-20 23:30:00',
               '2006-05-20 23:45:00', '2006-05-21 00:00:00',
               '2006-05-21 00:15:00', '2006-05-21 00:30:00',
               '2006-05-21 00:45:00', '2006-05-21 01:00:00',
               '2006-05-21 01:15:00', '2006-05-21 01:30:00',
               '2006-05-21 01:45:00', '2006-05-21 02:00:00',
               '2006-05-21 02:15:00', '2006-05-21 02:30:00',
               '2006-05-21 02:45:00', '2006-05-21 03:00:00',
               '2006-05-21 03:15:00', '2006-05-21 03:30:00',
               '2006-05-21 03:45:00', '2006-05-21 04:00:00',
               '2006-05-21 04:15:00', '2006-05-21 04:30:00',
               '2006-05-21 04:45:00', '2006-05-21 05:00:00',
               '2006-05-21 05:15:00', '2006-05-21 05:30:00',
               '2006-05-21 05:45:00', '2006-05-21 06:00:00',
               '2006-05-21 06:15:00', '2006-05-21 06:30:00',
               '2006-05-21 06:45:00', '2006-05-21 07:00:00',
               '2006-05-21 07:15:00', '2006-05-21 07:30:00',
               '2006-05-21 07:45:00', '2006-05-21 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-5-1T00 to 2006-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-05-01 00:00:00', '2006-05-01 00:15:00',
               '2006-05-01 00:30:00', '2006-05-01 00:45:00',
               '2006-05-01 01:00:00', '2006-05-01 01:15:00',
               '2006-05-01 01:30:00', '2006-05-01 01:45:00',
               '2006-05-01 02:00:00', '2006-05-01 02:15:00',
               ...
               '2006-05-06 06:30:00', '2006-05-06 06:45:00',
               '2006-05-06 07:00:00', '2006-05-06 07:15:00',
               '2006-05-06 07:30:00', '2006-05-06 07:45:00',
               '2006-05-06 08:00:00', '2006-05-08 23:15:00',
               '2006-05-08 23:30:00', '2006-05-08 23:45:00'],
              dtype='datetime64[ns]', length=516, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-5-1T00 to 2006-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00', '2006-06-03 12:15:00',
               '2006-06-03 12:30:00', '2006-06-03 12:45:00',
               '2006-06-05 12:15:00', '2006-06-05 12:30:00',
               '2006-06-05 12:45:00', '2006-06-06 12:15:00',
               '2006-06-06 12:30:00', '2006-06-06 12:45:00',
               '2006-06-08 12:15:00', '2006-06-08 12:30:00',
               '2006-06-08 12:45:00', '2006-06-09 12:30:00',
               '2006-06-09 12:45:00', '2006-06-09 13:00:00',
               '2006-06-10 12:15:00', '2006-06-10 12:30:00',
               '2006-06-10 12:45:00', '2006-06-10 13:00:00',
               '2006-06-10 18:15:00', '2006-06-10 18:30:00',
               '2006-06-10 18:45:00', '2006-06-11 12:15:00',
               '2006-06-11 12:30:00', '2006-06-11 12:45:00',
               '2006-06-13 04:45:00', '2006-06-13 05:00:00',
               '2006-06-13 05:15:00', '2006-06-15 09:30:00',
               '2006-06-15 09:45:00', '2006-06-15 10:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               ...
               '2006-06-07 05:45:00', '2006-06-07 06:00:00',
               '2006-06-07 06:15:00', '2006-06-07 06:30:00',
               '2006-06-07 06:45:00', '2006-06-07 07:00:00',
               '2006-06-07 07:15:00', '2006-06-07 07:30:00',
               '2006-06-07 07:45:00', '2006-06-07 08:00:00'],
              dtype='datetime64[ns]', length=609, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               ...
               '2006-06-19 05:45:00', '2006-06-19 06:00:00',
               '2006-06-19 06:15:00', '2006-06-19 06:30:00',
               '2006-06-19 06:45:00', '2006-06-19 07:00:00',
               '2006-06-19 07:15:00', '2006-06-19 07:30:00',
               '2006-06-19 07:45:00', '2006-06-19 08:00:00'],
              dtype='datetime64[ns]', length=613, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00', '2006-06-09 10:15:00',
               '2006-06-09 10:30:00', '2006-06-09 10:45:00',
               '2006-06-09 11:00:00', '2006-06-09 11:15:00',
               '2006-06-09 11:30:00', '2006-06-09 21:00:00',
               '2006-06-09 21:15:00', '2006-06-09 21:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               ...
               '2006-06-19 19:30:00', '2006-06-19 19:45:00',
               '2006-06-19 20:00:00', '2006-06-19 20:15:00',
               '2006-06-20 00:15:00', '2006-06-20 00:30:00',
               '2006-06-20 00:45:00', '2006-06-20 13:15:00',
               '2006-06-20 13:30:00', '2006-06-20 13:45:00'],
              dtype='datetime64[ns]', length=199, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-6-1T00 to 2006-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-06-01 00:00:00', '2006-06-01 00:15:00',
               '2006-06-01 00:30:00', '2006-06-01 00:45:00',
               '2006-06-01 01:00:00', '2006-06-01 01:15:00',
               '2006-06-01 01:30:00', '2006-06-01 01:45:00',
               '2006-06-01 02:00:00', '2006-06-01 02:15:00',
               '2006-06-01 02:30:00', '2006-06-01 02:45:00',
               '2006-06-01 03:00:00', '2006-06-01 03:15:00',
               '2006-06-01 03:30:00', '2006-06-01 03:45:00',
               '2006-06-01 04:00:00', '2006-06-01 04:15:00',
               '2006-06-01 04:30:00', '2006-06-01 04:45:00',
               '2006-06-01 05:00:00', '2006-06-01 05:15:00',
               '2006-06-01 05:30:00', '2006-06-01 05:45:00',
               '2006-06-01 06:00:00', '2006-06-01 06:15:00',
               '2006-06-01 06:30:00', '2006-06-01 06:45:00',
               '2006-06-01 07:00:00', '2006-06-01 07:15:00',
               '2006-06-01 07:30:00', '2006-06-01 07:45:00',
               '2006-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-6-1T00 to 2006-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               ...
               '2006-07-31 20:45:00', '2006-07-31 21:00:00',
               '2006-07-31 21:15:00', '2006-07-31 21:30:00',
               '2006-07-31 21:45:00', '2006-07-31 22:00:00',
               '2006-07-31 22:15:00', '2006-07-31 22:30:00',
               '2006-07-31 22:45:00', '2006-07-31 23:00:00'],
              dtype='datetime64[ns]', length=191, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               ...
               '2006-07-15 05:45:00', '2006-07-15 06:00:00',
               '2006-07-15 06:15:00', '2006-07-15 06:30:00',
               '2006-07-15 06:45:00', '2006-07-15 07:00:00',
               '2006-07-15 07:15:00', '2006-07-15 07:30:00',
               '2006-07-15 07:45:00', '2006-07-15 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00', '2006-07-01 23:15:00',
               '2006-07-01 23:30:00', '2006-07-01 23:45:00',
               '2006-07-03 17:15:00', '2006-07-03 17:30:00',
               '2006-07-03 17:45:00', '2006-07-05 00:30:00',
               '2006-07-05 00:45:00', '2006-07-05 01:00:00',
               '2006-07-07 22:15:00', '2006-07-07 22:30:00',
               '2006-07-07 22:45:00', '2006-07-09 19:45:00',
               '2006-07-09 20:00:00', '2006-07-09 20:15:00',
               '2006-07-10 17:30:00', '2006-07-10 17:45:00',
               '2006-07-10 18:00:00', '2006-07-10 19:15:00',
               '2006-07-10 19:30:00', '2006-07-10 19:45:00',
               '2006-07-11 15:45:00', '2006-07-11 16:00:00',
               '2006-07-11 16:15:00', '2006-07-13 03:45:00',
               '2006-07-13 04:00:00', '2006-07-13 04:15:00',
               '2006-07-13 10:15:00', '2006-07-13 10:30:00',
               '2006-07-13 10:45:00', '2006-07-14 07:00:00',
               '2006-07-14 07:15:00', '2006-07-14 07:30:00',
               '2006-07-14 11:30:00', '2006-07-14 11:45:00',
               '2006-07-14 12:00:00', '2006-07-16 16:45:00',
               '2006-07-16 17:00:00', '2006-07-16 17:15:00',
               '2006-07-17 01:00:00', '2006-07-17 01:15:00',
               '2006-07-17 01:30:00', '2006-07-17 20:15:00',
               '2006-07-17 20:30:00', '2006-07-17 20:45:00',
               '2006-07-22 12:00:00', '2006-07-22 12:15:00',
               '2006-07-22 12:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               ...
               '2006-07-28 05:45:00', '2006-07-28 06:00:00',
               '2006-07-28 06:15:00', '2006-07-28 06:30:00',
               '2006-07-28 06:45:00', '2006-07-28 07:00:00',
               '2006-07-28 07:15:00', '2006-07-28 07:30:00',
               '2006-07-28 07:45:00', '2006-07-28 08:00:00'],
              dtype='datetime64[ns]', length=474, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-7-1T00 to 2006-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-07-01 00:00:00', '2006-07-01 00:15:00',
               '2006-07-01 00:30:00', '2006-07-01 00:45:00',
               '2006-07-01 01:00:00', '2006-07-01 01:15:00',
               '2006-07-01 01:30:00', '2006-07-01 01:45:00',
               '2006-07-01 02:00:00', '2006-07-01 02:15:00',
               '2006-07-01 02:30:00', '2006-07-01 02:45:00',
               '2006-07-01 03:00:00', '2006-07-01 03:15:00',
               '2006-07-01 03:30:00', '2006-07-01 03:45:00',
               '2006-07-01 04:00:00', '2006-07-01 04:15:00',
               '2006-07-01 04:30:00', '2006-07-01 04:45:00',
               '2006-07-01 05:00:00', '2006-07-01 05:15:00',
               '2006-07-01 05:30:00', '2006-07-01 05:45:00',
               '2006-07-01 06:00:00', '2006-07-01 06:15:00',
               '2006-07-01 06:30:00', '2006-07-01 06:45:00',
               '2006-07-01 07:00:00', '2006-07-01 07:15:00',
               '2006-07-01 07:30:00', '2006-07-01 07:45:00',
               '2006-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-7-1T00 to 2006-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00', '2006-08-31 19:30:00',
               '2006-08-31 19:45:00', '2006-08-31 20:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00', '2006-08-19 08:00:00',
               '2006-08-19 08:15:00', '2006-08-19 08:30:00',
               '2006-08-19 08:45:00', '2006-08-19 09:00:00',
               '2006-08-19 09:15:00', '2006-08-19 09:30:00',
               '2006-08-19 09:45:00', '2006-08-19 10:00:00',
               '2006-08-19 12:15:00', '2006-08-19 12:30:00',
               '2006-08-19 12:45:00', '2006-08-19 13:00:00',
               '2006-08-19 13:15:00', '2006-08-19 13:30:00',
               '2006-08-19 13:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               ...
               '2006-08-29 05:45:00', '2006-08-29 06:00:00',
               '2006-08-29 06:15:00', '2006-08-29 06:30:00',
               '2006-08-29 06:45:00', '2006-08-29 07:00:00',
               '2006-08-29 07:15:00', '2006-08-29 07:30:00',
               '2006-08-29 07:45:00', '2006-08-29 08:00:00'],
              dtype='datetime64[ns]', length=615, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               ...
               '2006-08-12 05:45:00', '2006-08-12 06:00:00',
               '2006-08-12 06:15:00', '2006-08-12 06:30:00',
               '2006-08-12 06:45:00', '2006-08-12 07:00:00',
               '2006-08-12 07:15:00', '2006-08-12 07:30:00',
               '2006-08-12 07:45:00', '2006-08-12 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00', '2006-08-03 10:45:00',
               '2006-08-03 11:00:00', '2006-08-03 11:15:00',
               '2006-08-09 13:00:00', '2006-08-09 13:15:00',
               '2006-08-09 13:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00', '2006-08-05 20:15:00',
               '2006-08-05 20:30:00', '2006-08-05 20:45:00',
               '2006-08-05 21:30:00', '2006-08-05 21:45:00',
               '2006-08-05 22:00:00', '2006-08-05 22:15:00',
               '2006-08-07 07:15:00', '2006-08-07 07:30:00',
               '2006-08-07 07:45:00', '2006-08-07 20:45:00',
               '2006-08-07 21:00:00', '2006-08-07 21:15:00',
               '2006-08-08 05:00:00', '2006-08-08 05:15:00',
               '2006-08-08 05:30:00', '2006-08-08 06:30:00',
               '2006-08-08 06:45:00', '2006-08-08 07:00:00',
               '2006-08-08 07:15:00', '2006-08-08 07:30:00',
               '2006-08-09 19:15:00', '2006-08-09 19:30:00',
               '2006-08-09 19:45:00', '2006-08-09 20:45:00',
               '2006-08-09 21:00:00', '2006-08-09 21:15:00',
               '2006-08-09 21:45:00', '2006-08-09 22:00:00',
               '2006-08-09 22:15:00', '2006-08-09 22:30:00',
               '2006-08-09 22:45:00', '2006-08-09 23:00:00',
               '2006-08-09 23:15:00', '2006-08-09 23:30:00',
               '2006-08-09 23:45:00', '2006-08-10 00:00:00',
               '2006-08-10 00:15:00', '2006-08-10 00:30:00',
               '2006-08-10 00:45:00', '2006-08-10 01:00:00',
               '2006-08-10 01:15:00', '2006-08-10 01:30:00',
               '2006-08-10 01:45:00', '2006-08-10 02:00:00',
               '2006-08-10 02:15:00', '2006-08-10 02:30:00',
               '2006-08-10 02:45:00', '2006-08-10 03:00:00',
               '2006-08-10 03:15:00', '2006-08-10 03:30:00',
               '2006-08-10 03:45:00', '2006-08-10 04:00:00',
               '2006-08-10 04:15:00', '2006-08-10 04:30:00',
               '2006-08-10 04:45:00', '2006-08-10 20:15:00',
               '2006-08-10 20:30:00', '2006-08-10 20:45:00',
               '2006-08-10 21:00:00', '2006-08-10 21:15:00',
               '2006-08-10 21:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-8-1T00 to 2006-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-08-01 00:00:00', '2006-08-01 00:15:00',
               '2006-08-01 00:30:00', '2006-08-01 00:45:00',
               '2006-08-01 01:00:00', '2006-08-01 01:15:00',
               '2006-08-01 01:30:00', '2006-08-01 01:45:00',
               '2006-08-01 02:00:00', '2006-08-01 02:15:00',
               '2006-08-01 02:30:00', '2006-08-01 02:45:00',
               '2006-08-01 03:00:00', '2006-08-01 03:15:00',
               '2006-08-01 03:30:00', '2006-08-01 03:45:00',
               '2006-08-01 04:00:00', '2006-08-01 04:15:00',
               '2006-08-01 04:30:00', '2006-08-01 04:45:00',
               '2006-08-01 05:00:00', '2006-08-01 05:15:00',
               '2006-08-01 05:30:00', '2006-08-01 05:45:00',
               '2006-08-01 06:00:00', '2006-08-01 06:15:00',
               '2006-08-01 06:30:00', '2006-08-01 06:45:00',
               '2006-08-01 07:00:00', '2006-08-01 07:15:00',
               '2006-08-01 07:30:00', '2006-08-01 07:45:00',
               '2006-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-8-1T00 to 2006-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00', '2006-09-06 17:45:00',
               '2006-09-06 18:00:00', '2006-09-06 18:15:00',
               '2006-09-06 18:30:00', '2006-09-18 04:15:00',
               '2006-09-18 04:30:00', '2006-09-18 04:45:00',
               '2006-09-18 05:00:00', '2006-09-23 04:15:00',
               '2006-09-23 04:30:00', '2006-09-23 04:45:00',
               '2006-09-23 05:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               ...
               '2006-09-19 05:45:00', '2006-09-19 06:00:00',
               '2006-09-19 06:15:00', '2006-09-19 06:30:00',
               '2006-09-19 06:45:00', '2006-09-19 07:00:00',
               '2006-09-19 07:15:00', '2006-09-19 07:30:00',
               '2006-09-19 07:45:00', '2006-09-19 08:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               ...
               '2006-09-06 05:45:00', '2006-09-06 06:00:00',
               '2006-09-06 06:15:00', '2006-09-06 06:30:00',
               '2006-09-06 06:45:00', '2006-09-06 07:00:00',
               '2006-09-06 07:15:00', '2006-09-06 07:30:00',
               '2006-09-06 07:45:00', '2006-09-06 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               ...
               '2006-09-11 06:30:00', '2006-09-11 06:45:00',
               '2006-09-11 07:00:00', '2006-09-11 07:15:00',
               '2006-09-11 07:30:00', '2006-09-11 07:45:00',
               '2006-09-11 08:00:00', '2006-09-20 20:45:00',
               '2006-09-20 21:00:00', '2006-09-20 21:15:00'],
              dtype='datetime64[ns]', length=326, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-9-1T00 to 2006-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-09-01 00:00:00', '2006-09-01 00:15:00',
               '2006-09-01 00:30:00', '2006-09-01 00:45:00',
               '2006-09-01 01:00:00', '2006-09-01 01:15:00',
               '2006-09-01 01:30:00', '2006-09-01 01:45:00',
               '2006-09-01 02:00:00', '2006-09-01 02:15:00',
               '2006-09-01 02:30:00', '2006-09-01 02:45:00',
               '2006-09-01 03:00:00', '2006-09-01 03:15:00',
               '2006-09-01 03:30:00', '2006-09-01 03:45:00',
               '2006-09-01 04:00:00', '2006-09-01 04:15:00',
               '2006-09-01 04:30:00', '2006-09-01 04:45:00',
               '2006-09-01 05:00:00', '2006-09-01 05:15:00',
               '2006-09-01 05:30:00', '2006-09-01 05:45:00',
               '2006-09-01 06:00:00', '2006-09-01 06:15:00',
               '2006-09-01 06:30:00', '2006-09-01 06:45:00',
               '2006-09-01 07:00:00', '2006-09-01 07:15:00',
               '2006-09-01 07:30:00', '2006-09-01 07:45:00',
               '2006-09-01 08:00:00', '2006-09-06 00:15:00',
               '2006-09-06 00:30:00', '2006-09-06 00:45:00',
               '2006-09-06 01:00:00', '2006-09-06 01:15:00',
               '2006-09-06 01:30:00', '2006-09-06 13:15:00',
               '2006-09-06 13:30:00', '2006-09-06 13:45:00',
               '2006-09-06 14:00:00', '2006-09-06 14:15:00',
               '2006-09-06 14:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-9-1T00 to 2006-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               '2006-10-01 02:30:00', '2006-10-01 02:45:00',
               '2006-10-01 03:00:00', '2006-10-01 03:15:00',
               '2006-10-01 03:30:00', '2006-10-01 03:45:00',
               '2006-10-01 04:00:00', '2006-10-01 04:15:00',
               '2006-10-01 04:30:00', '2006-10-01 04:45:00',
               '2006-10-01 05:00:00', '2006-10-01 05:15:00',
               '2006-10-01 05:30:00', '2006-10-01 05:45:00',
               '2006-10-01 06:00:00', '2006-10-01 06:15:00',
               '2006-10-01 06:30:00', '2006-10-01 06:45:00',
               '2006-10-01 07:00:00', '2006-10-01 07:15:00',
               '2006-10-01 07:30:00', '2006-10-01 07:45:00',
               '2006-10-01 08:00:00', '2006-10-10 18:15:00',
               '2006-10-10 18:30:00', '2006-10-10 18:45:00',
               '2006-10-19 16:15:00', '2006-10-19 16:30:00',
               '2006-10-19 16:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               '2006-10-01 02:30:00', '2006-10-01 02:45:00',
               '2006-10-01 03:00:00', '2006-10-01 03:15:00',
               '2006-10-01 03:30:00', '2006-10-01 03:45:00',
               '2006-10-01 04:00:00', '2006-10-01 04:15:00',
               '2006-10-01 04:30:00', '2006-10-01 04:45:00',
               '2006-10-01 05:00:00', '2006-10-01 05:15:00',
               '2006-10-01 05:30:00', '2006-10-01 05:45:00',
               '2006-10-01 06:00:00', '2006-10-01 06:15:00',
               '2006-10-01 06:30:00', '2006-10-01 06:45:00',
               '2006-10-01 07:00:00', '2006-10-01 07:15:00',
               '2006-10-01 07:30:00', '2006-10-01 07:45:00',
               '2006-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               ...
               '2006-10-03 05:45:00', '2006-10-03 06:00:00',
               '2006-10-03 06:15:00', '2006-10-03 06:30:00',
               '2006-10-03 06:45:00', '2006-10-03 07:00:00',
               '2006-10-03 07:15:00', '2006-10-03 07:30:00',
               '2006-10-03 07:45:00', '2006-10-03 08:00:00'],
              dtype='datetime64[ns]', length=225, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               ...
               '2006-10-22 05:45:00', '2006-10-22 06:00:00',
               '2006-10-22 06:15:00', '2006-10-22 06:30:00',
               '2006-10-22 06:45:00', '2006-10-22 07:00:00',
               '2006-10-22 07:15:00', '2006-10-22 07:30:00',
               '2006-10-22 07:45:00', '2006-10-22 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               ...
               '2006-10-09 05:45:00', '2006-10-09 06:00:00',
               '2006-10-09 06:15:00', '2006-10-09 06:30:00',
               '2006-10-09 06:45:00', '2006-10-09 07:00:00',
               '2006-10-09 07:15:00', '2006-10-09 07:30:00',
               '2006-10-09 07:45:00', '2006-10-09 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               '2006-10-01 02:30:00', '2006-10-01 02:45:00',
               '2006-10-01 03:00:00', '2006-10-01 03:15:00',
               '2006-10-01 03:30:00', '2006-10-01 03:45:00',
               '2006-10-01 04:00:00', '2006-10-01 04:15:00',
               '2006-10-01 04:30:00', '2006-10-01 04:45:00',
               '2006-10-01 05:00:00', '2006-10-01 05:15:00',
               '2006-10-01 05:30:00', '2006-10-01 05:45:00',
               '2006-10-01 06:00:00', '2006-10-01 06:15:00',
               '2006-10-01 06:30:00', '2006-10-01 06:45:00',
               '2006-10-01 07:00:00', '2006-10-01 07:15:00',
               '2006-10-01 07:30:00', '2006-10-01 07:45:00',
               '2006-10-01 08:00:00', '2006-10-04 00:15:00',
               '2006-10-04 00:30:00', '2006-10-04 00:45:00',
               '2006-10-04 01:00:00', '2006-10-04 01:15:00',
               '2006-10-04 01:30:00', '2006-10-06 12:15:00',
               '2006-10-06 12:30:00', '2006-10-06 12:45:00',
               '2006-10-06 13:00:00', '2006-10-06 13:15:00',
               '2006-10-06 13:30:00', '2006-10-08 18:15:00',
               '2006-10-08 18:30:00', '2006-10-08 18:45:00',
               '2006-10-08 19:00:00', '2006-10-08 19:15:00',
               '2006-10-08 19:30:00', '2006-10-10 18:15:00',
               '2006-10-10 18:30:00', '2006-10-10 18:45:00',
               '2006-10-10 19:00:00', '2006-10-10 19:15:00',
               '2006-10-10 19:30:00', '2006-10-26 18:15:00',
               '2006-10-26 18:30:00', '2006-10-26 18:45:00',
               '2006-10-26 19:00:00', '2006-10-26 19:15:00',
               '2006-10-26 19:30:00', '2006-10-29 04:15:00',
               '2006-10-29 04:30:00', '2006-10-29 04:45:00',
               '2006-10-29 05:00:00', '2006-10-29 05:15:00',
               '2006-10-29 05:30:00', '2006-10-30 20:15:00',
               '2006-10-30 20:30:00', '2006-10-30 20:45:00',
               '2006-10-30 21:00:00', '2006-10-30 21:15:00',
               '2006-10-30 21:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               '2006-10-01 02:30:00', '2006-10-01 02:45:00',
               '2006-10-01 03:00:00', '2006-10-01 03:15:00',
               '2006-10-01 03:30:00', '2006-10-01 03:45:00',
               '2006-10-01 04:00:00', '2006-10-01 04:15:00',
               '2006-10-01 04:30:00', '2006-10-01 04:45:00',
               '2006-10-01 05:00:00', '2006-10-01 05:15:00',
               '2006-10-01 05:30:00', '2006-10-01 05:45:00',
               '2006-10-01 06:00:00', '2006-10-01 06:15:00',
               '2006-10-01 06:30:00', '2006-10-01 06:45:00',
               '2006-10-01 07:00:00', '2006-10-01 07:15:00',
               '2006-10-01 07:30:00', '2006-10-01 07:45:00',
               '2006-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               '2006-10-01 02:30:00', '2006-10-01 02:45:00',
               '2006-10-01 03:00:00', '2006-10-01 03:15:00',
               '2006-10-01 03:30:00', '2006-10-01 03:45:00',
               '2006-10-01 04:00:00', '2006-10-01 04:15:00',
               '2006-10-01 04:30:00', '2006-10-01 04:45:00',
               '2006-10-01 05:00:00', '2006-10-01 05:15:00',
               '2006-10-01 05:30:00', '2006-10-01 05:45:00',
               '2006-10-01 06:00:00', '2006-10-01 06:15:00',
               '2006-10-01 06:30:00', '2006-10-01 06:45:00',
               '2006-10-01 07:00:00', '2006-10-01 07:15:00',
               '2006-10-01 07:30:00', '2006-10-01 07:45:00',
               '2006-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-10-08 08:00:00', '2006-10-08 08:15:00',
               '2006-10-08 08:30:00', '2006-10-08 08:45:00',
               '2006-10-08 09:00:00', '2006-10-08 09:15:00',
               '2006-10-08 09:30:00', '2006-10-08 09:45:00',
               '2006-10-08 10:00:00', '2006-10-08 10:15:00',
               ...
               '2006-10-31 20:45:00', '2006-10-31 21:00:00',
               '2006-10-31 21:15:00', '2006-10-31 21:30:00',
               '2006-10-31 21:45:00', '2006-10-31 22:00:00',
               '2006-10-31 22:15:00', '2006-10-31 22:30:00',
               '2006-10-31 22:45:00', '2006-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2269, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               '2006-10-01 02:30:00', '2006-10-01 02:45:00',
               '2006-10-01 03:00:00', '2006-10-01 03:15:00',
               '2006-10-01 03:30:00', '2006-10-01 03:45:00',
               '2006-10-01 04:00:00', '2006-10-01 04:15:00',
               '2006-10-01 04:30:00', '2006-10-01 04:45:00',
               '2006-10-01 05:00:00', '2006-10-01 05:15:00',
               '2006-10-01 05:30:00', '2006-10-01 05:45:00',
               '2006-10-01 06:00:00', '2006-10-01 06:15:00',
               '2006-10-01 06:30:00', '2006-10-01 06:45:00',
               '2006-10-01 07:00:00', '2006-10-01 07:15:00',
               '2006-10-01 07:30:00', '2006-10-01 07:45:00',
               '2006-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-10-1T00 to 2006-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-10-01 00:00:00', '2006-10-01 00:15:00',
               '2006-10-01 00:30:00', '2006-10-01 00:45:00',
               '2006-10-01 01:00:00', '2006-10-01 01:15:00',
               '2006-10-01 01:30:00', '2006-10-01 01:45:00',
               '2006-10-01 02:00:00', '2006-10-01 02:15:00',
               '2006-10-01 02:30:00', '2006-10-01 02:45:00',
               '2006-10-01 03:00:00', '2006-10-01 03:15:00',
               '2006-10-01 03:30:00', '2006-10-01 03:45:00',
               '2006-10-01 04:00:00', '2006-10-01 04:15:00',
               '2006-10-01 04:30:00', '2006-10-01 04:45:00',
               '2006-10-01 05:00:00', '2006-10-01 05:15:00',
               '2006-10-01 05:30:00', '2006-10-01 05:45:00',
               '2006-10-01 06:00:00', '2006-10-01 06:15:00',
               '2006-10-01 06:30:00', '2006-10-01 06:45:00',
               '2006-10-01 07:00:00', '2006-10-01 07:15:00',
               '2006-10-01 07:30:00', '2006-10-01 07:45:00',
               '2006-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-10-1T00 to 2006-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-02 09:00:00', '2006-11-02 09:15:00',
               '2006-11-02 09:30:00', '2006-11-02 09:45:00',
               '2006-11-02 10:00:00', '2006-11-02 10:15:00',
               '2006-11-02 10:30:00', '2006-11-02 10:45:00',
               '2006-11-02 11:00:00', '2006-11-02 11:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2745, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               '2006-11-01 02:30:00', '2006-11-01 02:45:00',
               '2006-11-01 03:00:00', '2006-11-01 03:15:00',
               '2006-11-01 03:30:00', '2006-11-01 03:45:00',
               '2006-11-01 04:00:00', '2006-11-01 04:15:00',
               '2006-11-01 04:30:00', '2006-11-01 04:45:00',
               '2006-11-01 05:00:00', '2006-11-01 05:15:00',
               '2006-11-01 05:30:00', '2006-11-01 05:45:00',
               '2006-11-01 06:00:00', '2006-11-01 06:15:00',
               '2006-11-01 06:30:00', '2006-11-01 06:45:00',
               '2006-11-01 07:00:00', '2006-11-01 07:15:00',
               '2006-11-01 07:30:00', '2006-11-01 07:45:00',
               '2006-11-01 08:00:00', '2006-11-01 08:15:00',
               '2006-11-01 08:30:00', '2006-11-01 08:45:00',
               '2006-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-02 09:00:00', '2006-11-02 09:15:00',
               '2006-11-02 09:30:00', '2006-11-02 09:45:00',
               '2006-11-02 10:00:00', '2006-11-02 10:15:00',
               '2006-11-02 10:30:00', '2006-11-02 10:45:00',
               '2006-11-02 11:00:00', '2006-11-02 11:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2745, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               '2006-11-01 02:30:00', '2006-11-01 02:45:00',
               '2006-11-01 03:00:00', '2006-11-01 03:15:00',
               '2006-11-01 03:30:00', '2006-11-01 03:45:00',
               '2006-11-01 04:00:00', '2006-11-01 04:15:00',
               '2006-11-01 04:30:00', '2006-11-01 04:45:00',
               '2006-11-01 05:00:00', '2006-11-01 05:15:00',
               '2006-11-01 05:30:00', '2006-11-01 05:45:00',
               '2006-11-01 06:00:00', '2006-11-01 06:15:00',
               '2006-11-01 06:30:00', '2006-11-01 06:45:00',
               '2006-11-01 07:00:00', '2006-11-01 07:15:00',
               '2006-11-01 07:30:00', '2006-11-01 07:45:00',
               '2006-11-01 08:00:00', '2006-11-01 08:15:00',
               '2006-11-01 08:30:00', '2006-11-01 08:45:00',
               '2006-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-05 09:00:00', '2006-11-05 09:15:00',
               '2006-11-05 09:30:00', '2006-11-05 09:45:00',
               '2006-11-05 10:00:00', '2006-11-05 10:15:00',
               '2006-11-05 10:30:00', '2006-11-05 10:45:00',
               '2006-11-05 11:00:00', '2006-11-05 11:15:00',
               ...
               '2006-11-24 06:30:00', '2006-11-24 06:45:00',
               '2006-11-24 07:00:00', '2006-11-24 07:15:00',
               '2006-11-24 07:30:00', '2006-11-24 07:45:00',
               '2006-11-24 08:00:00', '2006-11-24 08:15:00',
               '2006-11-24 08:30:00', '2006-11-24 08:45:00'],
              dtype='datetime64[ns]', length=1824, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=575, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               '2006-11-01 02:30:00', '2006-11-01 02:45:00',
               '2006-11-01 03:00:00', '2006-11-01 03:15:00',
               '2006-11-01 03:30:00', '2006-11-01 03:45:00',
               '2006-11-01 04:00:00', '2006-11-01 04:15:00',
               '2006-11-01 04:30:00', '2006-11-01 04:45:00',
               '2006-11-01 05:00:00', '2006-11-01 05:15:00',
               '2006-11-01 05:30:00', '2006-11-01 05:45:00',
               '2006-11-01 06:00:00', '2006-11-01 06:15:00',
               '2006-11-01 06:30:00', '2006-11-01 06:45:00',
               '2006-11-01 07:00:00', '2006-11-01 07:15:00',
               '2006-11-01 07:30:00', '2006-11-01 07:45:00',
               '2006-11-01 08:00:00', '2006-11-01 08:15:00',
               '2006-11-01 08:30:00', '2006-11-01 08:45:00',
               '2006-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-13 09:00:00', '2006-11-13 09:15:00',
               '2006-11-13 09:30:00', '2006-11-13 09:45:00',
               '2006-11-13 10:00:00', '2006-11-13 10:15:00',
               '2006-11-13 10:30:00', '2006-11-13 10:45:00',
               '2006-11-13 11:00:00', '2006-11-13 11:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1689, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               ...
               '2006-11-11 06:45:00', '2006-11-11 07:00:00',
               '2006-11-11 07:15:00', '2006-11-11 07:30:00',
               '2006-11-11 07:45:00', '2006-11-11 08:00:00',
               '2006-11-11 08:15:00', '2006-11-11 08:30:00',
               '2006-11-11 08:45:00', '2006-11-11 09:00:00'],
              dtype='datetime64[ns]', length=617, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-12 09:00:00', '2006-11-12 09:15:00',
               '2006-11-12 09:30:00', '2006-11-12 09:45:00',
               '2006-11-12 10:00:00', '2006-11-12 10:15:00',
               '2006-11-12 10:30:00', '2006-11-12 10:45:00',
               '2006-11-12 11:00:00', '2006-11-12 11:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1785, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               ...
               '2006-11-10 08:15:00', '2006-11-10 08:30:00',
               '2006-11-10 08:45:00', '2006-11-10 09:00:00',
               '2006-11-11 16:15:00', '2006-11-11 16:30:00',
               '2006-11-11 16:45:00', '2006-11-11 17:00:00',
               '2006-11-11 17:15:00', '2006-11-11 17:30:00'],
              dtype='datetime64[ns]', length=269, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-14 09:00:00', '2006-11-14 09:15:00',
               '2006-11-14 09:30:00', '2006-11-14 09:45:00',
               '2006-11-14 10:00:00', '2006-11-14 10:15:00',
               '2006-11-14 10:30:00', '2006-11-14 10:45:00',
               '2006-11-14 11:00:00', '2006-11-14 11:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               ...
               '2006-11-11 06:45:00', '2006-11-11 07:00:00',
               '2006-11-11 07:15:00', '2006-11-11 07:30:00',
               '2006-11-11 07:45:00', '2006-11-11 08:00:00',
               '2006-11-11 08:15:00', '2006-11-11 08:30:00',
               '2006-11-11 08:45:00', '2006-11-11 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-02 09:00:00', '2006-11-02 09:15:00',
               '2006-11-02 09:30:00', '2006-11-02 09:45:00',
               '2006-11-02 10:00:00', '2006-11-02 10:15:00',
               '2006-11-02 10:30:00', '2006-11-02 10:45:00',
               '2006-11-02 11:00:00', '2006-11-02 11:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2745, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               '2006-11-01 02:30:00', '2006-11-01 02:45:00',
               '2006-11-01 03:00:00', '2006-11-01 03:15:00',
               '2006-11-01 03:30:00', '2006-11-01 03:45:00',
               '2006-11-01 04:00:00', '2006-11-01 04:15:00',
               '2006-11-01 04:30:00', '2006-11-01 04:45:00',
               '2006-11-01 05:00:00', '2006-11-01 05:15:00',
               '2006-11-01 05:30:00', '2006-11-01 05:45:00',
               '2006-11-01 06:00:00', '2006-11-01 06:15:00',
               '2006-11-01 06:30:00', '2006-11-01 06:45:00',
               '2006-11-01 07:00:00', '2006-11-01 07:15:00',
               '2006-11-01 07:30:00', '2006-11-01 07:45:00',
               '2006-11-01 08:00:00', '2006-11-01 08:15:00',
               '2006-11-01 08:30:00', '2006-11-01 08:45:00',
               '2006-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-11-1T00 to 2006-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-11-02 09:00:00', '2006-11-02 09:15:00',
               '2006-11-02 09:30:00', '2006-11-02 09:45:00',
               '2006-11-02 10:00:00', '2006-11-02 10:15:00',
               '2006-11-02 10:30:00', '2006-11-02 10:45:00',
               '2006-11-02 11:00:00', '2006-11-02 11:15:00',
               ...
               '2006-11-30 20:45:00', '2006-11-30 21:00:00',
               '2006-11-30 21:15:00', '2006-11-30 21:30:00',
               '2006-11-30 21:45:00', '2006-11-30 22:00:00',
               '2006-11-30 22:15:00', '2006-11-30 22:30:00',
               '2006-11-30 22:45:00', '2006-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2745, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-11-01 00:00:00', '2006-11-01 00:15:00',
               '2006-11-01 00:30:00', '2006-11-01 00:45:00',
               '2006-11-01 01:00:00', '2006-11-01 01:15:00',
               '2006-11-01 01:30:00', '2006-11-01 01:45:00',
               '2006-11-01 02:00:00', '2006-11-01 02:15:00',
               '2006-11-01 02:30:00', '2006-11-01 02:45:00',
               '2006-11-01 03:00:00', '2006-11-01 03:15:00',
               '2006-11-01 03:30:00', '2006-11-01 03:45:00',
               '2006-11-01 04:00:00', '2006-11-01 04:15:00',
               '2006-11-01 04:30:00', '2006-11-01 04:45:00',
               '2006-11-01 05:00:00', '2006-11-01 05:15:00',
               '2006-11-01 05:30:00', '2006-11-01 05:45:00',
               '2006-11-01 06:00:00', '2006-11-01 06:15:00',
               '2006-11-01 06:30:00', '2006-11-01 06:45:00',
               '2006-11-01 07:00:00', '2006-11-01 07:15:00',
               '2006-11-01 07:30:00', '2006-11-01 07:45:00',
               '2006-11-01 08:00:00', '2006-11-01 08:15:00',
               '2006-11-01 08:30:00', '2006-11-01 08:45:00',
               '2006-11-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-11-1T00 to 2006-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-12-01 00:00:00', '2006-12-01 00:15:00',
               '2006-12-01 00:30:00', '2006-12-01 00:45:00',
               '2006-12-01 01:00:00', '2006-12-01 01:15:00',
               '2006-12-01 01:30:00', '2006-12-01 01:45:00',
               '2006-12-01 02:00:00', '2006-12-01 02:15:00',
               '2006-12-01 02:30:00', '2006-12-01 02:45:00',
               '2006-12-01 03:00:00', '2006-12-01 03:15:00',
               '2006-12-01 03:30:00', '2006-12-01 03:45:00',
               '2006-12-01 04:00:00', '2006-12-01 04:15:00',
               '2006-12-01 04:30:00', '2006-12-01 04:45:00',
               '2006-12-01 05:00:00', '2006-12-01 05:15:00',
               '2006-12-01 05:30:00', '2006-12-01 05:45:00',
               '2006-12-01 06:00:00', '2006-12-01 06:15:00',
               '2006-12-01 06:30:00', '2006-12-01 06:45:00',
               '2006-12-01 07:00:00', '2006-12-01 07:15:00',
               '2006-12-01 07:30:00', '2006-12-01 07:45:00',
               '2006-12-01 08:00:00', '2006-12-01 08:15:00',
               '2006-12-01 08:30:00', '2006-12-01 08:45:00',
               '2006-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-12-15 09:00:00', '2006-12-15 09:15:00',
               '2006-12-15 09:30:00', '2006-12-15 09:45:00',
               '2006-12-15 10:00:00', '2006-12-15 10:15:00',
               '2006-12-15 10:30:00', '2006-12-15 10:45:00',
               '2006-12-15 11:00:00', '2006-12-15 11:15:00',
               ...
               '2006-12-31 20:45:00', '2006-12-31 21:00:00',
               '2006-12-31 21:15:00', '2006-12-31 21:30:00',
               '2006-12-31 21:45:00', '2006-12-31 22:00:00',
               '2006-12-31 22:15:00', '2006-12-31 22:30:00',
               '2006-12-31 22:45:00', '2006-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-12-01 00:00:00', '2006-12-01 00:15:00',
               '2006-12-01 00:30:00', '2006-12-01 00:45:00',
               '2006-12-01 01:00:00', '2006-12-01 01:15:00',
               '2006-12-01 01:30:00', '2006-12-01 01:45:00',
               '2006-12-01 02:00:00', '2006-12-01 02:15:00',
               ...
               '2006-12-12 06:45:00', '2006-12-12 07:00:00',
               '2006-12-12 07:15:00', '2006-12-12 07:30:00',
               '2006-12-12 07:45:00', '2006-12-12 08:00:00',
               '2006-12-12 08:15:00', '2006-12-12 08:30:00',
               '2006-12-12 08:45:00', '2006-12-12 09:00:00'],
              dtype='datetime64[ns]', length=999, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2006-12-01 00:00:00', '2006-12-01 00:15:00',
               '2006-12-01 00:30:00', '2006-12-01 00:45:00',
               '2006-12-01 01:00:00', '2006-12-01 01:15:00',
               '2006-12-01 01:30:00', '2006-12-01 01:45:00',
               '2006-12-01 02:00:00', '2006-12-01 02:15:00',
               ...
               '2006-12-29 06:45:00', '2006-12-29 07:00:00',
               '2006-12-29 07:15:00', '2006-12-29 07:30:00',
               '2006-12-29 07:45:00', '2006-12-29 08:00:00',
               '2006-12-29 08:15:00', '2006-12-29 08:30:00',
               '2006-12-29 08:45:00', '2006-12-29 09:00:00'],
              dtype='datetime64[ns]', length=1301, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2006-12-01 00:00:00', '2006-12-01 00:15:00',
               '2006-12-01 00:30:00', '2006-12-01 00:45:00',
               '2006-12-01 01:00:00', '2006-12-01 01:15:00',
               '2006-12-01 01:30:00', '2006-12-01 01:45:00',
               '2006-12-01 02:00:00', '2006-12-01 02:15:00',
               ...
               '2006-12-31 20:45:00', '2006-12-31 21:00:00',
               '2006-12-31 21:15:00', '2006-12-31 21:30:00',
               '2006-12-31 21:45:00', '2006-12-31 22:00:00',
               '2006-12-31 22:15:00', '2006-12-31 22:30:00',
               '2006-12-31 22:45:00', '2006-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2589, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2006-12-1T00 to 2006-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2006-12-1T00 to 2006-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2007

year = 2007
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-01-06 09:00:00', '2007-01-06 09:15:00',
               '2007-01-06 09:30:00', '2007-01-06 09:45:00',
               '2007-01-06 10:00:00', '2007-01-06 10:15:00',
               '2007-01-06 10:30:00', '2007-01-06 10:45:00',
               '2007-01-06 11:00:00', '2007-01-06 11:15:00',
               ...
               '2007-01-31 20:45:00', '2007-01-31 21:00:00',
               '2007-01-31 21:15:00', '2007-01-31 21:30:00',
               '2007-01-31 21:45:00', '2007-01-31 22:00:00',
               '2007-01-31 22:15:00', '2007-01-31 22:30:00',
               '2007-01-31 22:45:00', '2007-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2457, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-01-01 00:00:00', '2007-01-01 00:15:00',
               '2007-01-01 00:30:00', '2007-01-01 00:45:00',
               '2007-01-01 01:00:00', '2007-01-01 01:15:00',
               '2007-01-01 01:30:00', '2007-01-01 01:45:00',
               '2007-01-01 02:00:00', '2007-01-01 02:15:00',
               ...
               '2007-01-05 06:45:00', '2007-01-05 07:00:00',
               '2007-01-05 07:15:00', '2007-01-05 07:30:00',
               '2007-01-05 07:45:00', '2007-01-05 08:00:00',
               '2007-01-05 08:15:00', '2007-01-05 08:30:00',
               '2007-01-05 08:45:00', '2007-01-05 09:00:00'],
              dtype='datetime64[ns]', length=421, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-01-01 00:00:00', '2007-01-01 00:15:00',
               '2007-01-01 00:30:00', '2007-01-01 00:45:00',
               '2007-01-01 01:00:00', '2007-01-01 01:15:00',
               '2007-01-01 01:30:00', '2007-01-01 01:45:00',
               '2007-01-01 02:00:00', '2007-01-01 02:15:00',
               '2007-01-01 02:30:00', '2007-01-01 02:45:00',
               '2007-01-01 03:00:00', '2007-01-01 03:15:00',
               '2007-01-01 03:30:00', '2007-01-01 03:45:00',
               '2007-01-01 04:00:00', '2007-01-01 04:15:00',
               '2007-01-01 04:30:00', '2007-01-01 04:45:00',
               '2007-01-01 05:00:00', '2007-01-01 05:15:00',
               '2007-01-01 05:30:00', '2007-01-01 05:45:00',
               '2007-01-01 06:00:00', '2007-01-01 06:15:00',
               '2007-01-01 06:30:00', '2007-01-01 06:45:00',
               '2007-01-01 07:00:00', '2007-01-01 07:15:00',
               '2007-01-01 07:30:00', '2007-01-01 07:45:00',
               '2007-01-01 08:00:00', '2007-01-01 08:15:00',
               '2007-01-01 08:30:00', '2007-01-01 08:45:00',
               '2007-01-01 09:00:00', '2007-01-09 22:00:00',
               '2007-01-09 22:15:00', '2007-01-09 22:30:00',
               '2007-01-09 22:45:00', '2007-01-09 23:00:00',
               '2007-01-09 23:30:00', '2007-01-09 23:45:00',
               '2007-01-10 00:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-01-01 00:00:00', '2007-01-01 00:15:00',
               '2007-01-01 00:30:00', '2007-01-01 00:45:00',
               '2007-01-01 01:00:00', '2007-01-01 01:15:00',
               '2007-01-01 01:30:00', '2007-01-01 01:45:00',
               '2007-01-01 02:00:00', '2007-01-01 02:15:00',
               ...
               '2007-01-27 06:30:00', '2007-01-27 06:45:00',
               '2007-01-27 07:00:00', '2007-01-27 07:15:00',
               '2007-01-27 07:30:00', '2007-01-27 07:45:00',
               '2007-01-27 08:00:00', '2007-01-27 08:15:00',
               '2007-01-27 08:30:00', '2007-01-27 08:45:00'],
              dtype='datetime64[ns]', length=2532, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-01-30 08:45:00', '2007-01-30 09:00:00',
               '2007-01-30 09:15:00', '2007-01-30 09:30:00',
               '2007-01-30 09:45:00', '2007-01-30 10:00:00',
               '2007-01-30 10:15:00', '2007-01-30 10:30:00',
               '2007-01-30 10:45:00', '2007-01-30 11:00:00',
               ...
               '2007-01-31 20:45:00', '2007-01-31 21:00:00',
               '2007-01-31 21:15:00', '2007-01-31 21:30:00',
               '2007-01-31 21:45:00', '2007-01-31 22:00:00',
               '2007-01-31 22:15:00', '2007-01-31 22:30:00',
               '2007-01-31 22:45:00', '2007-01-31 23:00:00'],
              dtype='datetime64[ns]', length=154, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-01-01 00:00:00', '2007-01-01 00:15:00',
               '2007-01-01 00:30:00', '2007-01-01 00:45:00',
               '2007-01-01 01:00:00', '2007-01-01 01:15:00',
               '2007-01-01 01:30:00', '2007-01-01 01:45:00',
               '2007-01-01 02:00:00', '2007-01-01 02:15:00',
               ...
               '2007-01-20 06:30:00', '2007-01-20 06:45:00',
               '2007-01-20 07:00:00', '2007-01-20 07:15:00',
               '2007-01-20 07:30:00', '2007-01-20 07:45:00',
               '2007-01-20 08:00:00', '2007-01-20 08:15:00',
               '2007-01-20 08:30:00', '2007-01-20 08:45:00'],
              dtype='datetime64[ns]', length=1860, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-01-01 00:00:00', '2007-01-01 00:15:00',
               '2007-01-01 00:30:00', '2007-01-01 00:45:00',
               '2007-01-01 01:00:00', '2007-01-01 01:15:00',
               '2007-01-01 01:30:00', '2007-01-01 01:45:00',
               '2007-01-01 02:00:00', '2007-01-01 02:15:00',
               ...
               '2007-01-30 06:30:00', '2007-01-30 06:45:00',
               '2007-01-30 07:00:00', '2007-01-30 07:15:00',
               '2007-01-30 07:30:00', '2007-01-30 07:45:00',
               '2007-01-30 08:00:00', '2007-01-30 08:15:00',
               '2007-01-30 08:30:00', '2007-01-30 08:45:00'],
              dtype='datetime64[ns]', length=2820, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-1-1T00 to 2007-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-1-1T00 to 2007-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-02-01 00:00:00', '2007-02-01 00:15:00',
               '2007-02-01 00:30:00', '2007-02-01 00:45:00',
               '2007-02-01 01:00:00', '2007-02-01 01:15:00',
               '2007-02-01 01:30:00', '2007-02-01 01:45:00',
               '2007-02-01 02:00:00', '2007-02-01 02:15:00',
               '2007-02-01 02:30:00', '2007-02-01 02:45:00',
               '2007-02-01 03:00:00', '2007-02-01 03:15:00',
               '2007-02-01 03:30:00', '2007-02-01 03:45:00',
               '2007-02-01 04:00:00', '2007-02-01 04:15:00',
               '2007-02-01 04:30:00', '2007-02-01 04:45:00',
               '2007-02-01 05:00:00', '2007-02-01 05:15:00',
               '2007-02-01 05:30:00', '2007-02-01 05:45:00',
               '2007-02-01 06:00:00', '2007-02-01 06:15:00',
               '2007-02-01 06:30:00', '2007-02-01 06:45:00',
               '2007-02-01 07:00:00', '2007-02-01 07:15:00',
               '2007-02-01 07:30:00', '2007-02-01 07:45:00',
               '2007-02-01 08:00:00', '2007-02-01 08:15:00',
               '2007-02-01 08:30:00', '2007-02-01 08:45:00',
               '2007-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-02-18 09:00:00', '2007-02-18 09:15:00',
               '2007-02-18 09:30:00', '2007-02-18 09:45:00',
               '2007-02-18 10:00:00', '2007-02-18 10:15:00',
               '2007-02-18 10:30:00', '2007-02-18 10:45:00',
               '2007-02-18 11:00:00', '2007-02-18 11:15:00',
               ...
               '2007-02-28 20:45:00', '2007-02-28 21:00:00',
               '2007-02-28 21:15:00', '2007-02-28 21:30:00',
               '2007-02-28 21:45:00', '2007-02-28 22:00:00',
               '2007-02-28 22:15:00', '2007-02-28 22:30:00',
               '2007-02-28 22:45:00', '2007-02-28 23:00:00'],
              dtype='datetime64[ns]', length=1017, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-02-01 00:00:00', '2007-02-01 00:15:00',
               '2007-02-01 00:30:00', '2007-02-01 00:45:00',
               '2007-02-01 01:00:00', '2007-02-01 01:15:00',
               '2007-02-01 01:30:00', '2007-02-01 01:45:00',
               '2007-02-01 02:00:00', '2007-02-01 02:15:00',
               ...
               '2007-02-07 06:45:00', '2007-02-07 07:00:00',
               '2007-02-07 07:15:00', '2007-02-07 07:30:00',
               '2007-02-07 07:45:00', '2007-02-07 08:00:00',
               '2007-02-07 08:15:00', '2007-02-07 08:30:00',
               '2007-02-07 08:45:00', '2007-02-07 09:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-02-18 09:00:00', '2007-02-18 09:15:00',
               '2007-02-18 09:30:00', '2007-02-18 09:45:00',
               '2007-02-18 10:00:00', '2007-02-18 10:15:00',
               '2007-02-18 10:30:00', '2007-02-18 10:45:00',
               '2007-02-18 11:00:00', '2007-02-18 11:15:00',
               ...
               '2007-02-28 20:45:00', '2007-02-28 21:00:00',
               '2007-02-28 21:15:00', '2007-02-28 21:30:00',
               '2007-02-28 21:45:00', '2007-02-28 22:00:00',
               '2007-02-28 22:15:00', '2007-02-28 22:30:00',
               '2007-02-28 22:45:00', '2007-02-28 23:00:00'],
              dtype='datetime64[ns]', length=1017, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-02-01 00:00:00', '2007-02-01 00:15:00',
               '2007-02-01 00:30:00', '2007-02-01 00:45:00',
               '2007-02-01 01:00:00', '2007-02-01 01:15:00',
               '2007-02-01 01:30:00', '2007-02-01 01:45:00',
               '2007-02-01 02:00:00', '2007-02-01 02:15:00',
               ...
               '2007-02-14 06:45:00', '2007-02-14 07:00:00',
               '2007-02-14 07:15:00', '2007-02-14 07:30:00',
               '2007-02-14 07:45:00', '2007-02-14 08:00:00',
               '2007-02-14 08:15:00', '2007-02-14 08:30:00',
               '2007-02-14 08:45:00', '2007-02-14 09:00:00'],
              dtype='datetime64[ns]', length=425, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-02-05 09:00:00', '2007-02-05 09:15:00',
               '2007-02-05 09:30:00', '2007-02-05 09:45:00',
               '2007-02-05 10:00:00', '2007-02-05 10:15:00',
               '2007-02-05 10:30:00', '2007-02-05 10:45:00',
               '2007-02-05 11:00:00', '2007-02-05 11:15:00',
               ...
               '2007-02-28 20:45:00', '2007-02-28 21:00:00',
               '2007-02-28 21:15:00', '2007-02-28 21:30:00',
               '2007-02-28 21:45:00', '2007-02-28 22:00:00',
               '2007-02-28 22:15:00', '2007-02-28 22:30:00',
               '2007-02-28 22:45:00', '2007-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2265, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-02-01 00:00:00', '2007-02-01 00:15:00',
               '2007-02-01 00:30:00', '2007-02-01 00:45:00',
               '2007-02-01 01:00:00', '2007-02-01 01:15:00',
               '2007-02-01 01:30:00', '2007-02-01 01:45:00',
               '2007-02-01 02:00:00', '2007-02-01 02:15:00',
               '2007-02-01 02:30:00', '2007-02-01 02:45:00',
               '2007-02-01 03:00:00', '2007-02-01 03:15:00',
               '2007-02-01 03:30:00', '2007-02-01 03:45:00',
               '2007-02-01 04:00:00', '2007-02-01 04:15:00',
               '2007-02-01 04:30:00', '2007-02-01 04:45:00',
               '2007-02-01 05:00:00', '2007-02-01 05:15:00',
               '2007-02-01 05:30:00', '2007-02-01 05:45:00',
               '2007-02-01 06:00:00', '2007-02-01 06:15:00',
               '2007-02-01 06:30:00', '2007-02-01 06:45:00',
               '2007-02-01 07:00:00', '2007-02-01 07:15:00',
               '2007-02-01 07:30:00', '2007-02-01 07:45:00',
               '2007-02-01 08:00:00', '2007-02-01 08:15:00',
               '2007-02-01 08:30:00', '2007-02-01 08:45:00',
               '2007-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-2-1T00 to 2007-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-2-1T00 to 2007-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-03-01 00:00:00', '2007-03-01 00:15:00',
               '2007-03-01 00:30:00', '2007-03-01 00:45:00',
               '2007-03-01 01:00:00', '2007-03-01 01:15:00',
               '2007-03-01 01:30:00', '2007-03-01 01:45:00',
               '2007-03-01 02:00:00', '2007-03-01 02:15:00',
               '2007-03-01 02:30:00', '2007-03-01 02:45:00',
               '2007-03-01 03:00:00', '2007-03-01 03:15:00',
               '2007-03-01 03:30:00', '2007-03-01 03:45:00',
               '2007-03-01 04:00:00', '2007-03-01 04:15:00',
               '2007-03-01 04:30:00', '2007-03-01 04:45:00',
               '2007-03-01 05:00:00', '2007-03-01 05:15:00',
               '2007-03-01 05:30:00', '2007-03-01 05:45:00',
               '2007-03-01 06:00:00', '2007-03-01 06:15:00',
               '2007-03-01 06:30:00', '2007-03-01 06:45:00',
               '2007-03-01 07:00:00', '2007-03-01 07:15:00',
               '2007-03-01 07:30:00', '2007-03-01 07:45:00',
               '2007-03-01 08:00:00', '2007-03-01 08:15:00',
               '2007-03-01 08:30:00', '2007-03-01 08:45:00',
               '2007-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-03-01 00:00:00', '2007-03-01 00:15:00',
               '2007-03-01 00:30:00', '2007-03-01 00:45:00',
               '2007-03-01 01:00:00', '2007-03-01 01:15:00',
               '2007-03-01 01:30:00', '2007-03-01 01:45:00',
               '2007-03-01 02:00:00', '2007-03-01 02:15:00',
               ...
               '2007-03-30 05:30:00', '2007-03-30 05:45:00',
               '2007-03-30 06:00:00', '2007-03-30 06:15:00',
               '2007-03-30 06:30:00', '2007-03-30 06:45:00',
               '2007-03-30 07:00:00', '2007-03-30 07:15:00',
               '2007-03-30 07:30:00', '2007-03-30 07:45:00'],
              dtype='datetime64[ns]', length=2816, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-3-1T00 to 2007-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-3-1T00 to 2007-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               ...
               '2007-04-11 05:30:00', '2007-04-11 05:45:00',
               '2007-04-11 06:00:00', '2007-04-11 06:15:00',
               '2007-04-11 06:30:00', '2007-04-11 06:45:00',
               '2007-04-11 07:00:00', '2007-04-11 07:15:00',
               '2007-04-11 07:30:00', '2007-04-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               ...
               '2007-04-07 05:45:00', '2007-04-07 06:00:00',
               '2007-04-07 06:15:00', '2007-04-07 06:30:00',
               '2007-04-07 06:45:00', '2007-04-07 07:00:00',
               '2007-04-07 07:15:00', '2007-04-07 07:30:00',
               '2007-04-07 07:45:00', '2007-04-07 08:00:00'],
              dtype='datetime64[ns]', length=609, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               ...
               '2007-04-15 05:30:00', '2007-04-15 05:45:00',
               '2007-04-15 06:00:00', '2007-04-15 06:15:00',
               '2007-04-15 06:30:00', '2007-04-15 06:45:00',
               '2007-04-15 07:00:00', '2007-04-15 07:15:00',
               '2007-04-15 07:30:00', '2007-04-15 07:45:00'],
              dtype='datetime64[ns]', length=1376, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-04-30 18:45:00', '2007-04-30 19:00:00',
               '2007-04-30 19:15:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               ...
               '2007-04-12 07:15:00', '2007-04-12 07:30:00',
               '2007-04-12 07:45:00', '2007-04-12 08:00:00',
               '2007-04-27 19:00:00', '2007-04-27 19:15:00',
               '2007-04-27 19:30:00', '2007-04-27 19:45:00',
               '2007-04-27 20:00:00', '2007-04-27 20:15:00'],
              dtype='datetime64[ns]', length=137, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               ...
               '2007-04-21 05:45:00', '2007-04-21 06:00:00',
               '2007-04-21 06:15:00', '2007-04-21 06:30:00',
               '2007-04-21 06:45:00', '2007-04-21 07:00:00',
               '2007-04-21 07:15:00', '2007-04-21 07:30:00',
               '2007-04-21 07:45:00', '2007-04-21 08:00:00'],
              dtype='datetime64[ns]', length=707, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               '2007-04-01 02:30:00', '2007-04-01 02:45:00',
               '2007-04-01 03:00:00', '2007-04-01 03:15:00',
               '2007-04-01 03:30:00', '2007-04-01 03:45:00',
               '2007-04-01 04:00:00', '2007-04-01 04:15:00',
               '2007-04-01 04:30:00', '2007-04-01 04:45:00',
               '2007-04-01 05:00:00', '2007-04-01 05:15:00',
               '2007-04-01 05:30:00', '2007-04-01 05:45:00',
               '2007-04-01 06:00:00', '2007-04-01 06:15:00',
               '2007-04-01 06:30:00', '2007-04-01 06:45:00',
               '2007-04-01 07:00:00', '2007-04-01 07:15:00',
               '2007-04-01 07:30:00', '2007-04-01 07:45:00',
               '2007-04-01 08:00:00', '2007-04-10 23:15:00',
               '2007-04-10 23:30:00', '2007-04-10 23:45:00',
               '2007-04-11 00:00:00', '2007-04-11 00:15:00',
               '2007-04-11 00:30:00', '2007-04-11 00:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               ...
               '2007-04-21 05:30:00', '2007-04-21 05:45:00',
               '2007-04-21 06:00:00', '2007-04-21 06:15:00',
               '2007-04-21 06:30:00', '2007-04-21 06:45:00',
               '2007-04-21 07:00:00', '2007-04-21 07:15:00',
               '2007-04-21 07:30:00', '2007-04-21 07:45:00'],
              dtype='datetime64[ns]', length=1952, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-4-1T00 to 2007-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-04-01 00:00:00', '2007-04-01 00:15:00',
               '2007-04-01 00:30:00', '2007-04-01 00:45:00',
               '2007-04-01 01:00:00', '2007-04-01 01:15:00',
               '2007-04-01 01:30:00', '2007-04-01 01:45:00',
               '2007-04-01 02:00:00', '2007-04-01 02:15:00',
               ...
               '2007-04-22 05:30:00', '2007-04-22 05:45:00',
               '2007-04-22 06:00:00', '2007-04-22 06:15:00',
               '2007-04-22 06:30:00', '2007-04-22 06:45:00',
               '2007-04-22 07:00:00', '2007-04-22 07:15:00',
               '2007-04-22 07:30:00', '2007-04-22 07:45:00'],
              dtype='datetime64[ns]', length=2048, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-4-1T00 to 2007-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               '2007-05-01 02:30:00', '2007-05-01 02:45:00',
               '2007-05-01 03:00:00', '2007-05-01 03:15:00',
               '2007-05-01 03:30:00', '2007-05-01 03:45:00',
               '2007-05-01 04:00:00', '2007-05-01 04:15:00',
               '2007-05-01 04:30:00', '2007-05-01 04:45:00',
               '2007-05-01 05:00:00', '2007-05-01 05:15:00',
               '2007-05-01 05:30:00', '2007-05-01 05:45:00',
               '2007-05-01 06:00:00', '2007-05-01 06:15:00',
               '2007-05-01 06:30:00', '2007-05-01 06:45:00',
               '2007-05-01 07:00:00', '2007-05-01 07:15:00',
               '2007-05-01 07:30:00', '2007-05-01 07:45:00',
               '2007-05-01 08:00:00', '2007-05-08 04:15:00',
               '2007-05-08 04:30:00', '2007-05-08 04:45:00',
               '2007-05-08 05:15:00', '2007-05-08 05:30:00',
               '2007-05-08 05:45:00', '2007-05-11 08:45:00',
               '2007-05-11 09:00:00', '2007-05-11 09:15:00',
               '2007-05-18 00:30:00', '2007-05-18 00:45:00',
               '2007-05-18 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               '2007-05-01 02:30:00', '2007-05-01 02:45:00',
               '2007-05-01 03:00:00', '2007-05-01 03:15:00',
               '2007-05-01 03:30:00', '2007-05-01 03:45:00',
               '2007-05-01 04:00:00', '2007-05-01 04:15:00',
               '2007-05-01 04:30:00', '2007-05-01 04:45:00',
               '2007-05-01 05:00:00', '2007-05-01 05:15:00',
               '2007-05-01 05:30:00', '2007-05-01 05:45:00',
               '2007-05-01 06:00:00', '2007-05-01 06:15:00',
               '2007-05-01 06:30:00', '2007-05-01 06:45:00',
               '2007-05-01 07:00:00', '2007-05-01 07:15:00',
               '2007-05-01 07:30:00', '2007-05-01 07:45:00',
               '2007-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               '2007-05-01 02:30:00', '2007-05-01 02:45:00',
               '2007-05-01 03:00:00', '2007-05-01 03:15:00',
               '2007-05-01 03:30:00', '2007-05-01 03:45:00',
               '2007-05-01 04:00:00', '2007-05-01 04:15:00',
               '2007-05-01 04:30:00', '2007-05-01 04:45:00',
               '2007-05-01 05:00:00', '2007-05-01 05:15:00',
               '2007-05-01 05:30:00', '2007-05-01 05:45:00',
               '2007-05-01 06:00:00', '2007-05-01 06:15:00',
               '2007-05-01 06:30:00', '2007-05-01 06:45:00',
               '2007-05-01 07:00:00', '2007-05-01 07:15:00',
               '2007-05-01 07:30:00', '2007-05-01 07:45:00',
               '2007-05-01 08:00:00', '2007-05-08 08:00:00',
               '2007-05-08 08:15:00', '2007-05-08 08:30:00',
               '2007-05-10 09:15:00', '2007-05-10 09:30:00',
               '2007-05-10 09:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               '2007-05-01 02:30:00', '2007-05-01 02:45:00',
               '2007-05-01 03:00:00', '2007-05-01 03:15:00',
               '2007-05-01 03:30:00', '2007-05-01 03:45:00',
               '2007-05-01 04:00:00', '2007-05-01 04:15:00',
               '2007-05-01 04:30:00', '2007-05-01 04:45:00',
               '2007-05-01 05:00:00', '2007-05-01 05:15:00',
               '2007-05-01 05:30:00', '2007-05-01 05:45:00',
               '2007-05-01 06:00:00', '2007-05-01 06:15:00',
               '2007-05-01 06:30:00', '2007-05-01 06:45:00',
               '2007-05-01 07:00:00', '2007-05-01 07:15:00',
               '2007-05-01 07:30:00', '2007-05-01 07:45:00',
               '2007-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               ...
               '2007-05-19 05:45:00', '2007-05-19 06:00:00',
               '2007-05-19 06:15:00', '2007-05-19 06:30:00',
               '2007-05-19 06:45:00', '2007-05-19 07:00:00',
               '2007-05-19 07:15:00', '2007-05-19 07:30:00',
               '2007-05-19 07:45:00', '2007-05-19 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               '2007-05-01 02:30:00', '2007-05-01 02:45:00',
               '2007-05-01 03:00:00', '2007-05-01 03:15:00',
               '2007-05-01 03:30:00', '2007-05-01 03:45:00',
               '2007-05-01 04:00:00', '2007-05-01 04:15:00',
               '2007-05-01 04:30:00', '2007-05-01 04:45:00',
               '2007-05-01 05:00:00', '2007-05-01 05:15:00',
               '2007-05-01 05:30:00', '2007-05-01 05:45:00',
               '2007-05-01 06:00:00', '2007-05-01 06:15:00',
               '2007-05-01 06:30:00', '2007-05-01 06:45:00',
               '2007-05-01 07:00:00', '2007-05-01 07:15:00',
               '2007-05-01 07:30:00', '2007-05-01 07:45:00',
               '2007-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               ...
               '2007-05-12 05:45:00', '2007-05-12 06:00:00',
               '2007-05-12 06:15:00', '2007-05-12 06:30:00',
               '2007-05-12 06:45:00', '2007-05-12 07:00:00',
               '2007-05-12 07:15:00', '2007-05-12 07:30:00',
               '2007-05-12 07:45:00', '2007-05-12 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               ...
               '2007-05-31 20:45:00', '2007-05-31 21:00:00',
               '2007-05-31 21:15:00', '2007-05-31 21:30:00',
               '2007-05-31 21:45:00', '2007-05-31 22:00:00',
               '2007-05-31 22:15:00', '2007-05-31 22:30:00',
               '2007-05-31 22:45:00', '2007-05-31 23:00:00'],
              dtype='datetime64[ns]', length=479, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               ...
               '2007-05-11 05:45:00', '2007-05-11 06:00:00',
               '2007-05-11 06:15:00', '2007-05-11 06:30:00',
               '2007-05-11 06:45:00', '2007-05-11 07:00:00',
               '2007-05-11 07:15:00', '2007-05-11 07:30:00',
               '2007-05-11 07:45:00', '2007-05-11 08:00:00'],
              dtype='datetime64[ns]', length=899, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-5-1T00 to 2007-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-05-01 00:00:00', '2007-05-01 00:15:00',
               '2007-05-01 00:30:00', '2007-05-01 00:45:00',
               '2007-05-01 01:00:00', '2007-05-01 01:15:00',
               '2007-05-01 01:30:00', '2007-05-01 01:45:00',
               '2007-05-01 02:00:00', '2007-05-01 02:15:00',
               '2007-05-01 02:30:00', '2007-05-01 02:45:00',
               '2007-05-01 03:00:00', '2007-05-01 03:15:00',
               '2007-05-01 03:30:00', '2007-05-01 03:45:00',
               '2007-05-01 04:00:00', '2007-05-01 04:15:00',
               '2007-05-01 04:30:00', '2007-05-01 04:45:00',
               '2007-05-01 05:00:00', '2007-05-01 05:15:00',
               '2007-05-01 05:30:00', '2007-05-01 05:45:00',
               '2007-05-01 06:00:00', '2007-05-01 06:15:00',
               '2007-05-01 06:30:00', '2007-05-01 06:45:00',
               '2007-05-01 07:00:00', '2007-05-01 07:15:00',
               '2007-05-01 07:30:00', '2007-05-01 07:45:00',
               '2007-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-5-1T00 to 2007-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00', '2007-06-29 01:30:00',
               '2007-06-29 01:45:00', '2007-06-29 02:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               ...
               '2007-06-26 05:45:00', '2007-06-26 06:00:00',
               '2007-06-26 06:15:00', '2007-06-26 06:30:00',
               '2007-06-26 06:45:00', '2007-06-26 07:00:00',
               '2007-06-26 07:15:00', '2007-06-26 07:30:00',
               '2007-06-26 07:45:00', '2007-06-26 08:00:00'],
              dtype='datetime64[ns]', length=145, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00', '2007-06-01 08:15:00',
               '2007-06-01 08:30:00', '2007-06-01 08:45:00',
               '2007-06-01 09:00:00', '2007-06-01 09:15:00',
               '2007-06-01 09:30:00', '2007-06-01 09:45:00',
               '2007-06-01 10:00:00', '2007-06-01 10:15:00',
               '2007-06-01 10:30:00', '2007-06-01 10:45:00',
               '2007-06-01 11:00:00', '2007-06-01 11:15:00',
               '2007-06-01 11:30:00', '2007-06-01 11:45:00',
               '2007-06-01 12:00:00', '2007-06-01 12:15:00',
               '2007-06-01 12:30:00', '2007-06-01 12:45:00',
               '2007-06-01 13:00:00', '2007-06-01 13:15:00',
               '2007-06-01 13:30:00', '2007-06-01 13:45:00',
               '2007-06-01 14:00:00', '2007-06-01 14:15:00',
               '2007-06-01 14:30:00', '2007-06-01 14:45:00',
               '2007-06-01 15:00:00', '2007-06-01 15:15:00',
               '2007-06-01 15:30:00', '2007-06-01 15:45:00',
               '2007-06-01 16:00:00', '2007-06-01 16:15:00',
               '2007-06-01 16:30:00', '2007-06-01 16:45:00',
               '2007-06-01 17:00:00', '2007-06-01 17:15:00',
               '2007-06-01 17:30:00', '2007-06-01 17:45:00',
               '2007-06-01 18:00:00', '2007-06-01 18:15:00',
               '2007-06-01 18:30:00', '2007-06-01 18:45:00',
               '2007-06-01 19:00:00', '2007-06-01 19:15:00',
               '2007-06-01 19:30:00', '2007-06-01 19:45:00',
               '2007-06-01 20:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-6-1T00 to 2007-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-06-01 00:00:00', '2007-06-01 00:15:00',
               '2007-06-01 00:30:00', '2007-06-01 00:45:00',
               '2007-06-01 01:00:00', '2007-06-01 01:15:00',
               '2007-06-01 01:30:00', '2007-06-01 01:45:00',
               '2007-06-01 02:00:00', '2007-06-01 02:15:00',
               '2007-06-01 02:30:00', '2007-06-01 02:45:00',
               '2007-06-01 03:00:00', '2007-06-01 03:15:00',
               '2007-06-01 03:30:00', '2007-06-01 03:45:00',
               '2007-06-01 04:00:00', '2007-06-01 04:15:00',
               '2007-06-01 04:30:00', '2007-06-01 04:45:00',
               '2007-06-01 05:00:00', '2007-06-01 05:15:00',
               '2007-06-01 05:30:00', '2007-06-01 05:45:00',
               '2007-06-01 06:00:00', '2007-06-01 06:15:00',
               '2007-06-01 06:30:00', '2007-06-01 06:45:00',
               '2007-06-01 07:00:00', '2007-06-01 07:15:00',
               '2007-06-01 07:30:00', '2007-06-01 07:45:00',
               '2007-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-6-1T00 to 2007-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00', '2007-07-06 21:15:00',
               '2007-07-06 21:30:00', '2007-07-06 21:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00', '2007-07-21 12:30:00',
               '2007-07-21 12:45:00', '2007-07-21 13:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-7-1T00 to 2007-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-07-01 00:00:00', '2007-07-01 00:15:00',
               '2007-07-01 00:30:00', '2007-07-01 00:45:00',
               '2007-07-01 01:00:00', '2007-07-01 01:15:00',
               '2007-07-01 01:30:00', '2007-07-01 01:45:00',
               '2007-07-01 02:00:00', '2007-07-01 02:15:00',
               '2007-07-01 02:30:00', '2007-07-01 02:45:00',
               '2007-07-01 03:00:00', '2007-07-01 03:15:00',
               '2007-07-01 03:30:00', '2007-07-01 03:45:00',
               '2007-07-01 04:00:00', '2007-07-01 04:15:00',
               '2007-07-01 04:30:00', '2007-07-01 04:45:00',
               '2007-07-01 05:00:00', '2007-07-01 05:15:00',
               '2007-07-01 05:30:00', '2007-07-01 05:45:00',
               '2007-07-01 06:00:00', '2007-07-01 06:15:00',
               '2007-07-01 06:30:00', '2007-07-01 06:45:00',
               '2007-07-01 07:00:00', '2007-07-01 07:15:00',
               '2007-07-01 07:30:00', '2007-07-01 07:45:00',
               '2007-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-7-1T00 to 2007-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00', '2007-08-18 19:45:00',
               '2007-08-18 20:00:00', '2007-08-18 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               ...
               '2007-08-31 05:45:00', '2007-08-31 06:00:00',
               '2007-08-31 06:15:00', '2007-08-31 06:30:00',
               '2007-08-31 06:45:00', '2007-08-31 07:00:00',
               '2007-08-31 07:15:00', '2007-08-31 07:30:00',
               '2007-08-31 07:45:00', '2007-08-31 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00', '2007-08-28 16:00:00',
               '2007-08-28 16:15:00', '2007-08-28 16:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-8-1T00 to 2007-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-08-01 00:00:00', '2007-08-01 00:15:00',
               '2007-08-01 00:30:00', '2007-08-01 00:45:00',
               '2007-08-01 01:00:00', '2007-08-01 01:15:00',
               '2007-08-01 01:30:00', '2007-08-01 01:45:00',
               '2007-08-01 02:00:00', '2007-08-01 02:15:00',
               '2007-08-01 02:30:00', '2007-08-01 02:45:00',
               '2007-08-01 03:00:00', '2007-08-01 03:15:00',
               '2007-08-01 03:30:00', '2007-08-01 03:45:00',
               '2007-08-01 04:00:00', '2007-08-01 04:15:00',
               '2007-08-01 04:30:00', '2007-08-01 04:45:00',
               '2007-08-01 05:00:00', '2007-08-01 05:15:00',
               '2007-08-01 05:30:00', '2007-08-01 05:45:00',
               '2007-08-01 06:00:00', '2007-08-01 06:15:00',
               '2007-08-01 06:30:00', '2007-08-01 06:45:00',
               '2007-08-01 07:00:00', '2007-08-01 07:15:00',
               '2007-08-01 07:30:00', '2007-08-01 07:45:00',
               '2007-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-8-1T00 to 2007-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               '2007-09-01 02:30:00', '2007-09-01 02:45:00',
               '2007-09-01 03:00:00', '2007-09-01 03:15:00',
               '2007-09-01 03:30:00', '2007-09-01 03:45:00',
               '2007-09-01 04:00:00', '2007-09-01 04:15:00',
               '2007-09-01 04:30:00', '2007-09-01 04:45:00',
               '2007-09-01 05:00:00', '2007-09-01 05:15:00',
               '2007-09-01 05:30:00', '2007-09-01 05:45:00',
               '2007-09-01 06:00:00', '2007-09-01 06:15:00',
               '2007-09-01 06:30:00', '2007-09-01 06:45:00',
               '2007-09-01 07:00:00', '2007-09-01 07:15:00',
               '2007-09-01 07:30:00', '2007-09-01 07:45:00',
               '2007-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               '2007-09-01 02:30:00', '2007-09-01 02:45:00',
               '2007-09-01 03:00:00', '2007-09-01 03:15:00',
               '2007-09-01 03:30:00', '2007-09-01 03:45:00',
               '2007-09-01 04:00:00', '2007-09-01 04:15:00',
               '2007-09-01 04:30:00', '2007-09-01 04:45:00',
               '2007-09-01 05:00:00', '2007-09-01 05:15:00',
               '2007-09-01 05:30:00', '2007-09-01 05:45:00',
               '2007-09-01 06:00:00', '2007-09-01 06:15:00',
               '2007-09-01 06:30:00', '2007-09-01 06:45:00',
               '2007-09-01 07:00:00', '2007-09-01 07:15:00',
               '2007-09-01 07:30:00', '2007-09-01 07:45:00',
               '2007-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               '2007-09-01 02:30:00', '2007-09-01 02:45:00',
               '2007-09-01 03:00:00', '2007-09-01 03:15:00',
               '2007-09-01 03:30:00', '2007-09-01 03:45:00',
               '2007-09-01 04:00:00', '2007-09-01 04:15:00',
               '2007-09-01 04:30:00', '2007-09-01 04:45:00',
               '2007-09-01 05:00:00', '2007-09-01 05:15:00',
               '2007-09-01 05:30:00', '2007-09-01 05:45:00',
               '2007-09-01 06:00:00', '2007-09-01 06:15:00',
               '2007-09-01 06:30:00', '2007-09-01 06:45:00',
               '2007-09-01 07:00:00', '2007-09-01 07:15:00',
               '2007-09-01 07:30:00', '2007-09-01 07:45:00',
               '2007-09-01 08:00:00', '2007-09-04 19:45:00',
               '2007-09-04 20:00:00', '2007-09-04 20:15:00',
               '2007-09-16 14:00:00', '2007-09-16 14:15:00',
               '2007-09-16 14:30:00', '2007-09-16 14:45:00',
               '2007-09-16 15:00:00', '2007-09-16 15:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               '2007-09-01 02:30:00', '2007-09-01 02:45:00',
               '2007-09-01 03:00:00', '2007-09-01 03:15:00',
               '2007-09-01 03:30:00', '2007-09-01 03:45:00',
               '2007-09-01 04:00:00', '2007-09-01 04:15:00',
               '2007-09-01 04:30:00', '2007-09-01 04:45:00',
               '2007-09-01 05:00:00', '2007-09-01 05:15:00',
               '2007-09-01 05:30:00', '2007-09-01 05:45:00',
               '2007-09-01 06:00:00', '2007-09-01 06:15:00',
               '2007-09-01 06:30:00', '2007-09-01 06:45:00',
               '2007-09-01 07:00:00', '2007-09-01 07:15:00',
               '2007-09-01 07:30:00', '2007-09-01 07:45:00',
               '2007-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               ...
               '2007-09-30 05:45:00', '2007-09-30 06:00:00',
               '2007-09-30 06:15:00', '2007-09-30 06:30:00',
               '2007-09-30 06:45:00', '2007-09-30 07:00:00',
               '2007-09-30 07:15:00', '2007-09-30 07:30:00',
               '2007-09-30 07:45:00', '2007-09-30 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               '2007-09-01 02:30:00', '2007-09-01 02:45:00',
               '2007-09-01 03:00:00', '2007-09-01 03:15:00',
               '2007-09-01 03:30:00', '2007-09-01 03:45:00',
               '2007-09-01 04:00:00', '2007-09-01 04:15:00',
               '2007-09-01 04:30:00', '2007-09-01 04:45:00',
               '2007-09-01 05:00:00', '2007-09-01 05:15:00',
               '2007-09-01 05:30:00', '2007-09-01 05:45:00',
               '2007-09-01 06:00:00', '2007-09-01 06:15:00',
               '2007-09-01 06:30:00', '2007-09-01 06:45:00',
               '2007-09-01 07:00:00', '2007-09-01 07:15:00',
               '2007-09-01 07:30:00', '2007-09-01 07:45:00',
               '2007-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               '2007-09-01 02:30:00', '2007-09-01 02:45:00',
               '2007-09-01 03:00:00', '2007-09-01 03:15:00',
               '2007-09-01 03:30:00', '2007-09-01 03:45:00',
               '2007-09-01 04:00:00', '2007-09-01 04:15:00',
               '2007-09-01 04:30:00', '2007-09-01 04:45:00',
               '2007-09-01 05:00:00', '2007-09-01 05:15:00',
               '2007-09-01 05:30:00', '2007-09-01 05:45:00',
               '2007-09-01 06:00:00', '2007-09-01 06:15:00',
               '2007-09-01 06:30:00', '2007-09-01 06:45:00',
               '2007-09-01 07:00:00', '2007-09-01 07:15:00',
               '2007-09-01 07:30:00', '2007-09-01 07:45:00',
               '2007-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               ...
               '2007-09-21 05:45:00', '2007-09-21 06:00:00',
               '2007-09-21 06:15:00', '2007-09-21 06:30:00',
               '2007-09-21 06:45:00', '2007-09-21 07:00:00',
               '2007-09-21 07:15:00', '2007-09-21 07:30:00',
               '2007-09-21 07:45:00', '2007-09-21 08:00:00'],
              dtype='datetime64[ns]', length=148, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               ...
               '2007-09-27 07:15:00', '2007-09-27 07:30:00',
               '2007-09-27 07:45:00', '2007-09-27 08:00:00',
               '2007-09-28 00:30:00', '2007-09-28 00:45:00',
               '2007-09-28 01:00:00', '2007-09-28 01:15:00',
               '2007-09-28 01:30:00', '2007-09-28 01:45:00'],
              dtype='datetime64[ns]', length=238, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-9-1T00 to 2007-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-09-01 00:00:00', '2007-09-01 00:15:00',
               '2007-09-01 00:30:00', '2007-09-01 00:45:00',
               '2007-09-01 01:00:00', '2007-09-01 01:15:00',
               '2007-09-01 01:30:00', '2007-09-01 01:45:00',
               '2007-09-01 02:00:00', '2007-09-01 02:15:00',
               '2007-09-01 02:30:00', '2007-09-01 02:45:00',
               '2007-09-01 03:00:00', '2007-09-01 03:15:00',
               '2007-09-01 03:30:00', '2007-09-01 03:45:00',
               '2007-09-01 04:00:00', '2007-09-01 04:15:00',
               '2007-09-01 04:30:00', '2007-09-01 04:45:00',
               '2007-09-01 05:00:00', '2007-09-01 05:15:00',
               '2007-09-01 05:30:00', '2007-09-01 05:45:00',
               '2007-09-01 06:00:00', '2007-09-01 06:15:00',
               '2007-09-01 06:30:00', '2007-09-01 06:45:00',
               '2007-09-01 07:00:00', '2007-09-01 07:15:00',
               '2007-09-01 07:30:00', '2007-09-01 07:45:00',
               '2007-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-9-1T00 to 2007-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00', '2007-10-11 18:00:00',
               '2007-10-11 18:15:00', '2007-10-11 18:30:00',
               '2007-10-11 18:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               ...
               '2007-10-28 05:45:00', '2007-10-28 06:00:00',
               '2007-10-28 06:15:00', '2007-10-28 06:30:00',
               '2007-10-28 06:45:00', '2007-10-28 07:00:00',
               '2007-10-28 07:15:00', '2007-10-28 07:30:00',
               '2007-10-28 07:45:00', '2007-10-28 08:00:00'],
              dtype='datetime64[ns]', length=807, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               ...
               '2007-10-30 05:45:00', '2007-10-30 06:00:00',
               '2007-10-30 06:15:00', '2007-10-30 06:30:00',
               '2007-10-30 06:45:00', '2007-10-30 07:00:00',
               '2007-10-30 07:15:00', '2007-10-30 07:30:00',
               '2007-10-30 07:45:00', '2007-10-30 08:00:00'],
              dtype='datetime64[ns]', length=611, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-10-07 08:00:00', '2007-10-07 08:15:00',
               '2007-10-07 08:30:00', '2007-10-07 08:45:00',
               '2007-10-07 09:00:00', '2007-10-07 09:15:00',
               '2007-10-07 09:30:00', '2007-10-07 09:45:00',
               '2007-10-07 10:00:00', '2007-10-07 10:15:00',
               ...
               '2007-10-31 20:45:00', '2007-10-31 21:00:00',
               '2007-10-31 21:15:00', '2007-10-31 21:30:00',
               '2007-10-31 21:45:00', '2007-10-31 22:00:00',
               '2007-10-31 22:15:00', '2007-10-31 22:30:00',
               '2007-10-31 22:45:00', '2007-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2365, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-10-1T00 to 2007-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-10-01 00:00:00', '2007-10-01 00:15:00',
               '2007-10-01 00:30:00', '2007-10-01 00:45:00',
               '2007-10-01 01:00:00', '2007-10-01 01:15:00',
               '2007-10-01 01:30:00', '2007-10-01 01:45:00',
               '2007-10-01 02:00:00', '2007-10-01 02:15:00',
               '2007-10-01 02:30:00', '2007-10-01 02:45:00',
               '2007-10-01 03:00:00', '2007-10-01 03:15:00',
               '2007-10-01 03:30:00', '2007-10-01 03:45:00',
               '2007-10-01 04:00:00', '2007-10-01 04:15:00',
               '2007-10-01 04:30:00', '2007-10-01 04:45:00',
               '2007-10-01 05:00:00', '2007-10-01 05:15:00',
               '2007-10-01 05:30:00', '2007-10-01 05:45:00',
               '2007-10-01 06:00:00', '2007-10-01 06:15:00',
               '2007-10-01 06:30:00', '2007-10-01 06:45:00',
               '2007-10-01 07:00:00', '2007-10-01 07:15:00',
               '2007-10-01 07:30:00', '2007-10-01 07:45:00',
               '2007-10-01 08:00:00', '2007-10-01 08:15:00',
               '2007-10-01 08:30:00', '2007-10-01 08:45:00',
               '2007-10-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-10-1T00 to 2007-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               ...
               '2007-11-30 20:45:00', '2007-11-30 21:00:00',
               '2007-11-30 21:15:00', '2007-11-30 21:30:00',
               '2007-11-30 21:45:00', '2007-11-30 22:00:00',
               '2007-11-30 22:15:00', '2007-11-30 22:30:00',
               '2007-11-30 22:45:00', '2007-11-30 23:00:00'],
              dtype='datetime64[ns]', length=285, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2007-11-13 20:45:00', '2007-11-13 21:00:00',
               '2007-11-13 21:15:00', '2007-11-13 21:30:00',
               '2007-11-13 21:45:00', '2007-11-13 22:00:00',
               '2007-11-13 22:15:00', '2007-11-13 22:30:00',
               '2007-11-13 22:45:00', '2007-11-13 23:00:00',
               ...
               '2007-11-21 18:30:00', '2007-11-21 18:45:00',
               '2007-11-21 19:00:00', '2007-11-21 19:15:00',
               '2007-11-21 19:30:00', '2007-11-21 19:45:00',
               '2007-11-21 20:00:00', '2007-11-21 20:15:00',
               '2007-11-21 20:30:00', '2007-11-21 20:45:00'],
              dtype='datetime64[ns]', length=769, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-27 20:30:00', '2007-11-27 20:45:00',
               '2007-11-27 21:00:00', '2007-11-27 21:15:00',
               '2007-11-27 21:30:00', '2007-11-27 21:45:00',
               '2007-11-27 22:00:00', '2007-11-27 22:15:00',
               '2007-11-27 22:30:00', '2007-11-27 22:45:00',
               ...
               '2007-11-30 20:45:00', '2007-11-30 21:00:00',
               '2007-11-30 21:15:00', '2007-11-30 21:30:00',
               '2007-11-30 21:45:00', '2007-11-30 22:00:00',
               '2007-11-30 22:15:00', '2007-11-30 22:30:00',
               '2007-11-30 22:45:00', '2007-11-30 23:00:00'],
              dtype='datetime64[ns]', length=299, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-11-13 09:00:00', '2007-11-13 09:15:00',
               '2007-11-13 09:30:00', '2007-11-13 09:45:00',
               '2007-11-13 10:00:00', '2007-11-13 10:15:00',
               '2007-11-13 10:30:00', '2007-11-13 10:45:00',
               '2007-11-13 11:00:00', '2007-11-13 11:15:00',
               ...
               '2007-11-22 06:30:00', '2007-11-22 06:45:00',
               '2007-11-22 07:00:00', '2007-11-22 07:15:00',
               '2007-11-22 07:30:00', '2007-11-22 07:45:00',
               '2007-11-22 08:00:00', '2007-11-22 08:15:00',
               '2007-11-22 08:30:00', '2007-11-22 08:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               ...
               '2007-11-30 20:45:00', '2007-11-30 21:00:00',
               '2007-11-30 21:15:00', '2007-11-30 21:30:00',
               '2007-11-30 21:45:00', '2007-11-30 22:00:00',
               '2007-11-30 22:15:00', '2007-11-30 22:30:00',
               '2007-11-30 22:45:00', '2007-11-30 23:00:00'],
              dtype='datetime64[ns]', length=379, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               '2007-11-01 02:30:00', '2007-11-01 02:45:00',
               '2007-11-01 03:00:00', '2007-11-01 03:15:00',
               '2007-11-01 03:30:00', '2007-11-01 03:45:00',
               '2007-11-01 04:00:00', '2007-11-01 04:15:00',
               '2007-11-01 04:30:00', '2007-11-01 04:45:00',
               '2007-11-01 05:00:00', '2007-11-01 05:15:00',
               '2007-11-01 05:30:00', '2007-11-01 05:45:00',
               '2007-11-01 06:00:00', '2007-11-01 06:15:00',
               '2007-11-01 06:30:00', '2007-11-01 06:45:00',
               '2007-11-01 07:00:00', '2007-11-01 07:15:00',
               '2007-11-01 07:30:00', '2007-11-01 07:45:00',
               '2007-11-01 08:00:00', '2007-11-10 17:00:00',
               '2007-11-10 17:15:00', '2007-11-10 17:30:00',
               '2007-11-10 17:45:00', '2007-11-10 18:00:00',
               '2007-11-10 18:15:00', '2007-11-27 03:15:00',
               '2007-11-27 03:30:00', '2007-11-27 03:45:00',
               '2007-11-27 04:00:00', '2007-11-27 04:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               ...
               '2007-11-30 20:45:00', '2007-11-30 21:00:00',
               '2007-11-30 21:15:00', '2007-11-30 21:30:00',
               '2007-11-30 21:45:00', '2007-11-30 22:00:00',
               '2007-11-30 22:15:00', '2007-11-30 22:30:00',
               '2007-11-30 22:45:00', '2007-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1349, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               '2007-11-01 02:30:00', '2007-11-01 02:45:00',
               '2007-11-01 03:00:00', '2007-11-01 03:15:00',
               '2007-11-01 03:30:00', '2007-11-01 03:45:00',
               '2007-11-01 04:00:00', '2007-11-01 04:15:00',
               '2007-11-01 04:30:00', '2007-11-01 04:45:00',
               '2007-11-01 05:00:00', '2007-11-01 05:15:00',
               '2007-11-01 05:30:00', '2007-11-01 05:45:00',
               '2007-11-01 06:00:00', '2007-11-01 06:15:00',
               '2007-11-01 06:30:00', '2007-11-01 06:45:00',
               '2007-11-01 07:00:00', '2007-11-01 07:15:00',
               '2007-11-01 07:30:00', '2007-11-01 07:45:00',
               '2007-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               ...
               '2007-11-27 06:45:00', '2007-11-27 07:00:00',
               '2007-11-27 07:15:00', '2007-11-27 07:30:00',
               '2007-11-27 07:45:00', '2007-11-27 08:00:00',
               '2007-11-27 08:15:00', '2007-11-27 08:30:00',
               '2007-11-27 08:45:00', '2007-11-27 09:00:00'],
              dtype='datetime64[ns]', length=713, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.68, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-11-20 09:00:00', '2007-11-20 09:15:00',
               '2007-11-20 09:30:00', '2007-11-20 09:45:00',
               '2007-11-20 10:00:00', '2007-11-20 10:15:00',
               '2007-11-20 10:30:00', '2007-11-20 10:45:00',
               '2007-11-20 11:00:00', '2007-11-20 11:15:00',
               ...
               '2007-11-30 20:45:00', '2007-11-30 21:00:00',
               '2007-11-30 21:15:00', '2007-11-30 21:30:00',
               '2007-11-30 21:45:00', '2007-11-30 22:00:00',
               '2007-11-30 22:15:00', '2007-11-30 22:30:00',
               '2007-11-30 22:45:00', '2007-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1017, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               '2007-11-01 02:30:00', '2007-11-01 02:45:00',
               '2007-11-01 03:00:00', '2007-11-01 03:15:00',
               '2007-11-01 03:30:00', '2007-11-01 03:45:00',
               '2007-11-01 04:00:00', '2007-11-01 04:15:00',
               '2007-11-01 04:30:00', '2007-11-01 04:45:00',
               '2007-11-01 05:00:00', '2007-11-01 05:15:00',
               '2007-11-01 05:30:00', '2007-11-01 05:45:00',
               '2007-11-01 06:00:00', '2007-11-01 06:15:00',
               '2007-11-01 06:30:00', '2007-11-01 06:45:00',
               '2007-11-01 07:00:00', '2007-11-01 07:15:00',
               '2007-11-01 07:30:00', '2007-11-01 07:45:00',
               '2007-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               '2007-11-01 02:30:00', '2007-11-01 02:45:00',
               '2007-11-01 03:00:00', '2007-11-01 03:15:00',
               '2007-11-01 03:30:00', '2007-11-01 03:45:00',
               '2007-11-01 04:00:00', '2007-11-01 04:15:00',
               '2007-11-01 04:30:00', '2007-11-01 04:45:00',
               '2007-11-01 05:00:00', '2007-11-01 05:15:00',
               '2007-11-01 05:30:00', '2007-11-01 05:45:00',
               '2007-11-01 06:00:00', '2007-11-01 06:15:00',
               '2007-11-01 06:30:00', '2007-11-01 06:45:00',
               '2007-11-01 07:00:00', '2007-11-01 07:15:00',
               '2007-11-01 07:30:00', '2007-11-01 07:45:00',
               '2007-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               '2007-11-01 02:30:00', '2007-11-01 02:45:00',
               '2007-11-01 03:00:00', '2007-11-01 03:15:00',
               '2007-11-01 03:30:00', '2007-11-01 03:45:00',
               '2007-11-01 04:00:00', '2007-11-01 04:15:00',
               '2007-11-01 04:30:00', '2007-11-01 04:45:00',
               '2007-11-01 05:00:00', '2007-11-01 05:15:00',
               '2007-11-01 05:30:00', '2007-11-01 05:45:00',
               '2007-11-01 06:00:00', '2007-11-01 06:15:00',
               '2007-11-01 06:30:00', '2007-11-01 06:45:00',
               '2007-11-01 07:00:00', '2007-11-01 07:15:00',
               '2007-11-01 07:30:00', '2007-11-01 07:45:00',
               '2007-11-01 08:00:00', '2007-11-30 08:45:00',
               '2007-11-30 09:00:00', '2007-11-30 09:15:00',
               '2007-11-30 09:30:00', '2007-11-30 09:45:00',
               '2007-11-30 10:00:00', '2007-11-30 10:15:00',
               '2007-11-30 10:30:00', '2007-11-30 10:45:00',
               '2007-11-30 11:00:00', '2007-11-30 11:15:00',
               '2007-11-30 11:30:00', '2007-11-30 11:45:00',
               '2007-11-30 12:00:00', '2007-11-30 12:15:00',
               '2007-11-30 12:30:00', '2007-11-30 12:45:00',
               '2007-11-30 13:00:00', '2007-11-30 13:15:00',
               '2007-11-30 13:30:00', '2007-11-30 13:45:00',
               '2007-11-30 14:00:00', '2007-11-30 14:15:00',
               '2007-11-30 14:30:00', '2007-11-30 14:45:00',
               '2007-11-30 15:00:00', '2007-11-30 15:15:00',
               '2007-11-30 15:30:00', '2007-11-30 15:45:00',
               '2007-11-30 16:00:00', '2007-11-30 16:15:00',
               '2007-11-30 16:30:00', '2007-11-30 16:45:00',
               '2007-11-30 17:00:00', '2007-11-30 17:15:00',
               '2007-11-30 17:30:00', '2007-11-30 17:45:00',
               '2007-11-30 18:00:00', '2007-11-30 18:15:00',
               '2007-11-30 18:30:00', '2007-11-30 18:45:00',
               '2007-11-30 19:00:00', '2007-11-30 19:15:00',
               '2007-11-30 19:30:00', '2007-11-30 19:45:00',
               '2007-11-30 20:00:00', '2007-11-30 20:15:00',
               '2007-11-30 20:30:00', '2007-11-30 20:45:00',
               '2007-11-30 21:00:00', '2007-11-30 21:15:00',
               '2007-11-30 21:30:00', '2007-11-30 21:45:00',
               '2007-11-30 22:00:00', '2007-11-30 22:15:00',
               '2007-11-30 22:30:00', '2007-11-30 22:45:00',
               '2007-11-30 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-11-1T00 to 2007-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-11-09 09:00:00', '2007-11-09 09:15:00',
               '2007-11-09 09:30:00', '2007-11-09 09:45:00',
               '2007-11-09 10:00:00', '2007-11-09 10:15:00',
               '2007-11-09 10:30:00', '2007-11-09 10:45:00',
               '2007-11-09 11:00:00', '2007-11-09 11:15:00',
               ...
               '2007-11-30 20:45:00', '2007-11-30 21:00:00',
               '2007-11-30 21:15:00', '2007-11-30 21:30:00',
               '2007-11-30 21:45:00', '2007-11-30 22:00:00',
               '2007-11-30 22:15:00', '2007-11-30 22:30:00',
               '2007-11-30 22:45:00', '2007-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2073, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               '2007-11-01 02:30:00', '2007-11-01 02:45:00',
               '2007-11-01 03:00:00', '2007-11-01 03:15:00',
               '2007-11-01 03:30:00', '2007-11-01 03:45:00',
               '2007-11-01 04:00:00', '2007-11-01 04:15:00',
               '2007-11-01 04:30:00', '2007-11-01 04:45:00',
               '2007-11-01 05:00:00', '2007-11-01 05:15:00',
               '2007-11-01 05:30:00', '2007-11-01 05:45:00',
               '2007-11-01 06:00:00', '2007-11-01 06:15:00',
               '2007-11-01 06:30:00', '2007-11-01 06:45:00',
               '2007-11-01 07:00:00', '2007-11-01 07:15:00',
               '2007-11-01 07:30:00', '2007-11-01 07:45:00',
               '2007-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-11-01 00:00:00', '2007-11-01 00:15:00',
               '2007-11-01 00:30:00', '2007-11-01 00:45:00',
               '2007-11-01 01:00:00', '2007-11-01 01:15:00',
               '2007-11-01 01:30:00', '2007-11-01 01:45:00',
               '2007-11-01 02:00:00', '2007-11-01 02:15:00',
               '2007-11-01 02:30:00', '2007-11-01 02:45:00',
               '2007-11-01 03:00:00', '2007-11-01 03:15:00',
               '2007-11-01 03:30:00', '2007-11-01 03:45:00',
               '2007-11-01 04:00:00', '2007-11-01 04:15:00',
               '2007-11-01 04:30:00', '2007-11-01 04:45:00',
               '2007-11-01 05:00:00', '2007-11-01 05:15:00',
               '2007-11-01 05:30:00', '2007-11-01 05:45:00',
               '2007-11-01 06:00:00', '2007-11-01 06:15:00',
               '2007-11-01 06:30:00', '2007-11-01 06:45:00',
               '2007-11-01 07:00:00', '2007-11-01 07:15:00',
               '2007-11-01 07:30:00', '2007-11-01 07:45:00',
               '2007-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-11-1T00 to 2007-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 8.29, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2007-12-01 00:00:00', '2007-12-01 00:15:00',
               '2007-12-01 00:30:00', '2007-12-01 00:45:00',
               '2007-12-01 01:00:00', '2007-12-01 01:15:00',
               '2007-12-01 01:30:00', '2007-12-01 01:45:00',
               '2007-12-01 02:00:00', '2007-12-01 02:15:00',
               ...
               '2007-12-28 18:30:00', '2007-12-28 18:45:00',
               '2007-12-28 19:00:00', '2007-12-28 19:15:00',
               '2007-12-28 19:30:00', '2007-12-28 19:45:00',
               '2007-12-28 20:00:00', '2007-12-28 20:15:00',
               '2007-12-28 20:30:00', '2007-12-28 20:45:00'],
              dtype='datetime64[ns]', length=2676, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-12-01 00:00:00', '2007-12-01 00:15:00',
               '2007-12-01 00:30:00', '2007-12-01 00:45:00',
               '2007-12-01 01:00:00', '2007-12-01 01:15:00',
               '2007-12-01 01:30:00', '2007-12-01 01:45:00',
               '2007-12-01 02:00:00', '2007-12-01 02:15:00',
               ...
               '2007-12-29 06:30:00', '2007-12-29 06:45:00',
               '2007-12-29 07:00:00', '2007-12-29 07:15:00',
               '2007-12-29 07:30:00', '2007-12-29 07:45:00',
               '2007-12-29 08:00:00', '2007-12-29 08:15:00',
               '2007-12-29 08:30:00', '2007-12-29 08:45:00'],
              dtype='datetime64[ns]', length=2724, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-12-04 09:00:00', '2007-12-04 09:15:00',
               '2007-12-04 09:30:00', '2007-12-04 09:45:00',
               '2007-12-04 10:00:00', '2007-12-04 10:15:00',
               '2007-12-04 10:30:00', '2007-12-04 10:45:00',
               '2007-12-04 11:00:00', '2007-12-04 11:15:00',
               ...
               '2007-12-31 20:45:00', '2007-12-31 21:00:00',
               '2007-12-31 21:15:00', '2007-12-31 21:30:00',
               '2007-12-31 21:45:00', '2007-12-31 22:00:00',
               '2007-12-31 22:15:00', '2007-12-31 22:30:00',
               '2007-12-31 22:45:00', '2007-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2649, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-12-01 00:00:00', '2007-12-01 00:15:00',
               '2007-12-01 00:30:00', '2007-12-01 00:45:00',
               '2007-12-01 01:00:00', '2007-12-01 01:15:00',
               '2007-12-01 01:30:00', '2007-12-01 01:45:00',
               '2007-12-01 02:00:00', '2007-12-01 02:15:00',
               '2007-12-01 02:30:00', '2007-12-01 02:45:00',
               '2007-12-01 03:00:00', '2007-12-01 03:15:00',
               '2007-12-01 03:30:00', '2007-12-01 03:45:00',
               '2007-12-01 04:00:00', '2007-12-01 04:15:00',
               '2007-12-01 04:30:00', '2007-12-01 04:45:00',
               '2007-12-01 05:00:00', '2007-12-01 05:15:00',
               '2007-12-01 05:30:00', '2007-12-01 05:45:00',
               '2007-12-01 06:00:00', '2007-12-01 06:15:00',
               '2007-12-01 06:30:00', '2007-12-01 06:45:00',
               '2007-12-01 07:00:00', '2007-12-01 07:15:00',
               '2007-12-01 07:30:00', '2007-12-01 07:45:00',
               '2007-12-01 08:00:00', '2007-12-01 08:15:00',
               '2007-12-01 08:30:00', '2007-12-01 08:45:00',
               '2007-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-12-01 00:00:00', '2007-12-01 00:15:00',
               '2007-12-01 00:30:00', '2007-12-01 00:45:00',
               '2007-12-01 01:00:00', '2007-12-01 01:15:00',
               '2007-12-01 01:30:00', '2007-12-01 01:45:00',
               '2007-12-01 02:00:00', '2007-12-01 02:15:00',
               '2007-12-01 02:30:00', '2007-12-01 02:45:00',
               '2007-12-01 03:00:00', '2007-12-01 03:15:00',
               '2007-12-01 03:30:00', '2007-12-01 03:45:00',
               '2007-12-01 04:00:00', '2007-12-01 04:15:00',
               '2007-12-01 04:30:00', '2007-12-01 04:45:00',
               '2007-12-01 05:00:00', '2007-12-01 05:15:00',
               '2007-12-01 05:30:00', '2007-12-01 05:45:00',
               '2007-12-01 06:00:00', '2007-12-01 06:15:00',
               '2007-12-01 06:30:00', '2007-12-01 06:45:00',
               '2007-12-01 07:00:00', '2007-12-01 07:15:00',
               '2007-12-01 07:30:00', '2007-12-01 07:45:00',
               '2007-12-01 08:00:00', '2007-12-01 08:15:00',
               '2007-12-01 08:30:00', '2007-12-01 08:45:00',
               '2007-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-12-14 09:00:00', '2007-12-14 09:15:00',
               '2007-12-14 09:30:00', '2007-12-14 09:45:00',
               '2007-12-14 10:00:00', '2007-12-14 10:15:00',
               '2007-12-14 10:30:00', '2007-12-14 10:45:00',
               '2007-12-14 11:00:00', '2007-12-14 11:15:00',
               ...
               '2007-12-31 20:45:00', '2007-12-31 21:00:00',
               '2007-12-31 21:15:00', '2007-12-31 21:30:00',
               '2007-12-31 21:45:00', '2007-12-31 22:00:00',
               '2007-12-31 22:15:00', '2007-12-31 22:30:00',
               '2007-12-31 22:45:00', '2007-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1689, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-12-01 00:00:00', '2007-12-01 00:15:00',
               '2007-12-01 00:30:00', '2007-12-01 00:45:00',
               '2007-12-01 01:00:00', '2007-12-01 01:15:00',
               '2007-12-01 01:30:00', '2007-12-01 01:45:00',
               '2007-12-01 02:00:00', '2007-12-01 02:15:00',
               ...
               '2007-12-09 06:45:00', '2007-12-09 07:00:00',
               '2007-12-09 07:15:00', '2007-12-09 07:30:00',
               '2007-12-09 07:45:00', '2007-12-09 08:00:00',
               '2007-12-09 08:15:00', '2007-12-09 08:30:00',
               '2007-12-09 08:45:00', '2007-12-09 09:00:00'],
              dtype='datetime64[ns]', length=711, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.57, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2007-12-16 09:00:00', '2007-12-16 09:15:00',
               '2007-12-16 09:30:00', '2007-12-16 09:45:00',
               '2007-12-16 10:00:00', '2007-12-16 10:15:00',
               '2007-12-16 10:30:00', '2007-12-16 10:45:00',
               '2007-12-16 11:00:00', '2007-12-16 11:15:00',
               ...
               '2007-12-31 20:45:00', '2007-12-31 21:00:00',
               '2007-12-31 21:15:00', '2007-12-31 21:30:00',
               '2007-12-31 21:45:00', '2007-12-31 22:00:00',
               '2007-12-31 22:15:00', '2007-12-31 22:30:00',
               '2007-12-31 22:45:00', '2007-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1497, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-12-01 00:00:00', '2007-12-01 00:15:00',
               '2007-12-01 00:30:00', '2007-12-01 00:45:00',
               '2007-12-01 01:00:00', '2007-12-01 01:15:00',
               '2007-12-01 01:30:00', '2007-12-01 01:45:00',
               '2007-12-01 02:00:00', '2007-12-01 02:15:00',
               ...
               '2007-12-13 06:45:00', '2007-12-13 07:00:00',
               '2007-12-13 07:15:00', '2007-12-13 07:30:00',
               '2007-12-13 07:45:00', '2007-12-13 08:00:00',
               '2007-12-13 08:15:00', '2007-12-13 08:30:00',
               '2007-12-13 08:45:00', '2007-12-13 09:00:00'],
              dtype='datetime64[ns]', length=617, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2007-12-1T00 to 2007-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2007-12-01 00:00:00', '2007-12-01 00:15:00',
               '2007-12-01 00:30:00', '2007-12-01 00:45:00',
               '2007-12-01 01:00:00', '2007-12-01 01:15:00',
               '2007-12-01 01:30:00', '2007-12-01 01:45:00',
               '2007-12-01 02:00:00', '2007-12-01 02:15:00',
               '2007-12-01 02:30:00', '2007-12-01 02:45:00',
               '2007-12-01 03:00:00', '2007-12-01 03:15:00',
               '2007-12-01 03:30:00', '2007-12-01 03:45:00',
               '2007-12-01 04:00:00', '2007-12-01 04:15:00',
               '2007-12-01 04:30:00', '2007-12-01 04:45:00',
               '2007-12-01 05:00:00', '2007-12-01 05:15:00',
               '2007-12-01 05:30:00', '2007-12-01 05:45:00',
               '2007-12-01 06:00:00', '2007-12-01 06:15:00',
               '2007-12-01 06:30:00', '2007-12-01 06:45:00',
               '2007-12-01 07:00:00', '2007-12-01 07:15:00',
               '2007-12-01 07:30:00', '2007-12-01 07:45:00',
               '2007-12-01 08:00:00', '2007-12-01 08:15:00',
               '2007-12-01 08:30:00', '2007-12-01 08:45:00',
               '2007-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2007-12-1T00 to 2007-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2008

year = 2008
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.46, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-01-01 00:00:00', '2008-01-01 00:15:00',
               '2008-01-01 00:30:00', '2008-01-01 00:45:00',
               '2008-01-01 01:00:00', '2008-01-01 01:15:00',
               '2008-01-01 01:30:00', '2008-01-01 01:45:00',
               '2008-01-01 02:00:00', '2008-01-01 02:15:00',
               ...
               '2008-01-31 20:45:00', '2008-01-31 21:00:00',
               '2008-01-31 21:15:00', '2008-01-31 21:30:00',
               '2008-01-31 21:45:00', '2008-01-31 22:00:00',
               '2008-01-31 22:15:00', '2008-01-31 22:30:00',
               '2008-01-31 22:45:00', '2008-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1157, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-01-29 20:30:00', '2008-01-29 20:45:00',
               '2008-01-29 21:00:00', '2008-01-29 21:15:00',
               '2008-01-29 21:30:00', '2008-01-29 21:45:00',
               '2008-01-29 22:00:00', '2008-01-29 22:15:00',
               '2008-01-29 22:30:00', '2008-01-29 22:45:00',
               '2008-01-29 23:00:00', '2008-01-29 23:15:00',
               '2008-01-29 23:30:00', '2008-01-29 23:45:00',
               '2008-01-30 00:00:00', '2008-01-30 00:15:00',
               '2008-01-30 00:30:00', '2008-01-30 00:45:00',
               '2008-01-30 01:00:00', '2008-01-30 01:15:00',
               '2008-01-30 01:30:00', '2008-01-30 01:45:00',
               '2008-01-30 02:00:00', '2008-01-30 02:15:00',
               '2008-01-30 02:30:00', '2008-01-30 02:45:00',
               '2008-01-30 03:00:00', '2008-01-30 03:15:00',
               '2008-01-30 03:30:00', '2008-01-30 03:45:00',
               '2008-01-30 04:00:00', '2008-01-30 04:15:00',
               '2008-01-30 04:30:00', '2008-01-30 04:45:00',
               '2008-01-30 05:00:00', '2008-01-30 05:15:00',
               '2008-01-30 05:30:00', '2008-01-30 05:45:00',
               '2008-01-30 06:00:00', '2008-01-30 06:15:00',
               '2008-01-30 06:30:00', '2008-01-30 06:45:00',
               '2008-01-30 07:00:00', '2008-01-30 07:15:00',
               '2008-01-30 07:30:00', '2008-01-30 07:45:00',
               '2008-01-30 08:00:00', '2008-01-30 08:15:00',
               '2008-01-30 08:30:00', '2008-01-30 08:45:00',
               '2008-01-30 09:00:00', '2008-01-30 09:15:00',
               '2008-01-30 09:30:00', '2008-01-30 09:45:00',
               '2008-01-30 10:00:00', '2008-01-30 10:15:00',
               '2008-01-30 10:30:00', '2008-01-30 10:45:00',
               '2008-01-30 11:00:00', '2008-01-30 11:15:00',
               '2008-01-30 11:30:00', '2008-01-30 11:45:00',
               '2008-01-30 12:00:00', '2008-01-30 12:15:00',
               '2008-01-30 12:30:00', '2008-01-30 12:45:00',
               '2008-01-30 13:00:00', '2008-01-30 13:15:00',
               '2008-01-30 13:30:00', '2008-01-30 13:45:00',
               '2008-01-30 14:00:00', '2008-01-30 14:15:00',
               '2008-01-30 14:30:00', '2008-01-30 14:45:00',
               '2008-01-30 15:00:00', '2008-01-30 15:15:00',
               '2008-01-30 15:30:00', '2008-01-30 15:45:00',
               '2008-01-30 16:00:00', '2008-01-30 16:15:00',
               '2008-01-30 16:30:00', '2008-01-30 16:45:00',
               '2008-01-30 17:00:00', '2008-01-30 17:15:00',
               '2008-01-30 17:30:00', '2008-01-30 17:45:00',
               '2008-01-30 18:00:00', '2008-01-30 18:15:00',
               '2008-01-30 18:30:00', '2008-01-30 18:45:00',
               '2008-01-30 19:00:00', '2008-01-30 19:15:00',
               '2008-01-30 19:30:00', '2008-01-30 19:45:00',
               '2008-01-30 20:00:00', '2008-01-30 20:15:00',
               '2008-01-30 20:30:00', '2008-01-30 20:45:00',
               '2008-01-30 21:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-01-01 00:00:00', '2008-01-01 00:15:00',
               '2008-01-01 00:30:00', '2008-01-01 00:45:00',
               '2008-01-01 01:00:00', '2008-01-01 01:15:00',
               '2008-01-01 01:30:00', '2008-01-01 01:45:00',
               '2008-01-01 02:00:00', '2008-01-01 02:15:00',
               '2008-01-01 02:30:00', '2008-01-01 02:45:00',
               '2008-01-01 03:00:00', '2008-01-01 03:15:00',
               '2008-01-01 03:30:00', '2008-01-01 03:45:00',
               '2008-01-01 04:00:00', '2008-01-01 04:15:00',
               '2008-01-01 04:30:00', '2008-01-01 04:45:00',
               '2008-01-01 05:00:00', '2008-01-01 05:15:00',
               '2008-01-01 05:30:00', '2008-01-01 05:45:00',
               '2008-01-01 06:00:00', '2008-01-01 06:15:00',
               '2008-01-01 06:30:00', '2008-01-01 06:45:00',
               '2008-01-01 07:00:00', '2008-01-01 07:15:00',
               '2008-01-01 07:30:00', '2008-01-01 07:45:00',
               '2008-01-01 08:00:00', '2008-01-01 08:15:00',
               '2008-01-01 08:30:00', '2008-01-01 08:45:00',
               '2008-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.56, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-01-05 17:45:00', '2008-01-05 18:00:00',
               '2008-01-05 18:15:00', '2008-01-05 18:30:00',
               '2008-01-05 18:45:00', '2008-01-05 19:00:00',
               '2008-01-05 19:15:00', '2008-01-05 19:30:00',
               '2008-01-05 19:45:00', '2008-01-05 20:00:00',
               ...
               '2008-01-31 20:45:00', '2008-01-31 21:00:00',
               '2008-01-31 21:15:00', '2008-01-31 21:30:00',
               '2008-01-31 21:45:00', '2008-01-31 22:00:00',
               '2008-01-31 22:15:00', '2008-01-31 22:30:00',
               '2008-01-31 22:45:00', '2008-01-31 23:00:00'],
              dtype='datetime64[ns]', length=683, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-1-1T00 to 2008-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-01-01 00:00:00', '2008-01-01 00:15:00',
               '2008-01-01 00:30:00', '2008-01-01 00:45:00',
               '2008-01-01 01:00:00', '2008-01-01 01:15:00',
               '2008-01-01 01:30:00', '2008-01-01 01:45:00',
               '2008-01-01 02:00:00', '2008-01-01 02:15:00',
               '2008-01-01 02:30:00', '2008-01-01 02:45:00',
               '2008-01-01 03:00:00', '2008-01-01 03:15:00',
               '2008-01-01 03:30:00', '2008-01-01 03:45:00',
               '2008-01-01 04:00:00', '2008-01-01 04:15:00',
               '2008-01-01 04:30:00', '2008-01-01 04:45:00',
               '2008-01-01 05:00:00', '2008-01-01 05:15:00',
               '2008-01-01 05:30:00', '2008-01-01 05:45:00',
               '2008-01-01 06:00:00', '2008-01-01 06:15:00',
               '2008-01-01 06:30:00', '2008-01-01 06:45:00',
               '2008-01-01 07:00:00', '2008-01-01 07:15:00',
               '2008-01-01 07:30:00', '2008-01-01 07:45:00',
               '2008-01-01 08:00:00', '2008-01-01 08:15:00',
               '2008-01-01 08:30:00', '2008-01-01 08:45:00',
               '2008-01-01 09:00:00', '2008-01-24 02:15:00',
               '2008-01-24 02:30:00', '2008-01-24 02:45:00',
               '2008-01-24 03:00:00', '2008-01-24 03:15:00',
               '2008-01-24 03:30:00', '2008-01-24 03:45:00',
               '2008-01-24 04:00:00', '2008-01-24 05:00:00',
               '2008-01-24 05:15:00', '2008-01-24 05:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-1-1T00 to 2008-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2008-02-01 00:00:00', '2008-02-01 00:15:00',
               '2008-02-01 00:30:00', '2008-02-01 00:45:00',
               '2008-02-01 01:00:00', '2008-02-01 01:15:00',
               '2008-02-01 01:30:00', '2008-02-01 01:45:00',
               '2008-02-01 02:00:00', '2008-02-01 02:15:00',
               ...
               '2008-02-11 18:30:00', '2008-02-11 18:45:00',
               '2008-02-11 19:00:00', '2008-02-11 19:15:00',
               '2008-02-11 19:30:00', '2008-02-11 19:45:00',
               '2008-02-11 20:00:00', '2008-02-11 20:15:00',
               '2008-02-11 20:30:00', '2008-02-11 20:45:00'],
              dtype='datetime64[ns]', length=1044, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-02-01 00:00:00', '2008-02-01 00:15:00',
               '2008-02-01 00:30:00', '2008-02-01 00:45:00',
               '2008-02-01 01:00:00', '2008-02-01 01:15:00',
               '2008-02-01 01:30:00', '2008-02-01 01:45:00',
               '2008-02-01 02:00:00', '2008-02-01 02:15:00',
               ...
               '2008-02-12 06:30:00', '2008-02-12 06:45:00',
               '2008-02-12 07:00:00', '2008-02-12 07:15:00',
               '2008-02-12 07:30:00', '2008-02-12 07:45:00',
               '2008-02-12 08:00:00', '2008-02-12 08:15:00',
               '2008-02-12 08:30:00', '2008-02-12 08:45:00'],
              dtype='datetime64[ns]', length=1092, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15271000.
{L:124} max data value: 15.42, max INDEP value is 14.29
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-02-17 20:30:00', '2008-02-17 20:45:00',
               '2008-02-17 21:00:00', '2008-02-17 21:15:00',
               '2008-02-17 21:30:00', '2008-02-17 21:45:00',
               '2008-02-17 22:00:00', '2008-02-17 22:15:00',
               '2008-02-17 22:30:00', '2008-02-17 22:45:00',
               '2008-02-17 23:00:00', '2008-02-17 23:15:00',
               '2008-02-17 23:30:00', '2008-02-17 23:45:00',
               '2008-02-18 00:00:00', '2008-02-18 00:15:00',
               '2008-02-18 00:30:00', '2008-02-18 00:45:00',
               '2008-02-18 01:00:00', '2008-02-18 01:15:00',
               '2008-02-18 01:30:00', '2008-02-18 01:45:00',
               '2008-02-18 02:00:00', '2008-02-18 02:15:00',
               '2008-02-18 02:30:00', '2008-02-18 02:45:00',
               '2008-02-18 03:00:00', '2008-02-18 03:15:00',
               '2008-02-18 03:30:00', '2008-02-18 03:45:00',
               '2008-02-18 04:00:00', '2008-02-18 04:15:00',
               '2008-02-18 04:30:00', '2008-02-18 04:45:00',
               '2008-02-18 05:00:00', '2008-02-18 05:15:00',
               '2008-02-18 05:30:00', '2008-02-18 05:45:00',
               '2008-02-18 06:00:00', '2008-02-18 06:15:00',
               '2008-02-18 06:30:00', '2008-02-18 06:45:00',
               '2008-02-18 07:00:00', '2008-02-18 07:15:00',
               '2008-02-18 07:30:00', '2008-02-18 07:45:00',
               '2008-02-18 08:00:00', '2008-02-18 08:15:00',
               '2008-02-18 08:30:00', '2008-02-18 08:45:00',
               '2008-02-18 09:00:00', '2008-02-18 09:15:00',
               '2008-02-18 09:30:00', '2008-02-18 09:45:00',
               '2008-02-18 10:00:00', '2008-02-18 10:15:00',
               '2008-02-18 10:30:00', '2008-02-18 10:45:00',
               '2008-02-18 11:00:00', '2008-02-18 11:15:00',
               '2008-02-18 11:30:00', '2008-02-18 11:45:00',
               '2008-02-18 12:00:00', '2008-02-18 12:15:00',
               '2008-02-18 12:30:00', '2008-02-18 12:45:00',
               '2008-02-18 13:00:00', '2008-02-18 13:15:00',
               '2008-02-18 13:30:00', '2008-02-18 13:45:00',
               '2008-02-18 14:00:00', '2008-02-18 14:15:00',
               '2008-02-18 14:30:00', '2008-02-18 14:45:00',
               '2008-02-18 15:00:00', '2008-02-18 15:15:00',
               '2008-02-18 15:30:00', '2008-02-18 15:45:00',
               '2008-02-18 16:00:00', '2008-02-18 16:15:00',
               '2008-02-18 16:30:00', '2008-02-18 16:45:00',
               '2008-02-18 17:00:00', '2008-02-18 17:15:00',
               '2008-02-18 17:30:00', '2008-02-18 17:45:00',
               '2008-02-18 18:00:00', '2008-02-18 18:15:00',
               '2008-02-18 18:30:00', '2008-02-18 18:45:00',
               '2008-02-18 19:00:00', '2008-02-18 19:15:00',
               '2008-02-18 19:30:00', '2008-02-18 19:45:00',
               '2008-02-18 20:00:00', '2008-02-18 20:15:00',
               '2008-02-18 20:30:00', '2008-02-18 20:45:00',
               '2008-02-18 21:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-02-01 00:00:00', '2008-02-01 00:15:00',
               '2008-02-01 00:30:00', '2008-02-01 00:45:00',
               '2008-02-01 01:00:00', '2008-02-01 01:15:00',
               '2008-02-01 01:30:00', '2008-02-01 01:45:00',
               '2008-02-01 02:00:00', '2008-02-01 02:15:00',
               '2008-02-01 02:30:00', '2008-02-01 02:45:00',
               '2008-02-01 03:00:00', '2008-02-01 03:15:00',
               '2008-02-01 03:30:00', '2008-02-01 03:45:00',
               '2008-02-01 04:00:00', '2008-02-01 04:15:00',
               '2008-02-01 04:30:00', '2008-02-01 04:45:00',
               '2008-02-01 05:00:00', '2008-02-01 05:15:00',
               '2008-02-01 05:30:00', '2008-02-01 05:45:00',
               '2008-02-01 06:00:00', '2008-02-01 06:15:00',
               '2008-02-01 06:30:00', '2008-02-01 06:45:00',
               '2008-02-01 07:00:00', '2008-02-01 07:15:00',
               '2008-02-01 07:30:00', '2008-02-01 07:45:00',
               '2008-02-01 08:00:00', '2008-02-01 08:15:00',
               '2008-02-01 08:30:00', '2008-02-01 08:45:00',
               '2008-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-02-01 00:00:00', '2008-02-01 00:15:00',
               '2008-02-01 00:30:00', '2008-02-01 00:45:00',
               '2008-02-01 01:00:00', '2008-02-01 01:15:00',
               '2008-02-01 01:30:00', '2008-02-01 01:45:00',
               '2008-02-01 02:00:00', '2008-02-01 02:15:00',
               ...
               '2008-02-23 06:30:00', '2008-02-23 06:45:00',
               '2008-02-23 07:00:00', '2008-02-23 07:15:00',
               '2008-02-23 07:30:00', '2008-02-23 07:45:00',
               '2008-02-23 08:00:00', '2008-02-23 08:15:00',
               '2008-02-23 08:30:00', '2008-02-23 08:45:00'],
              dtype='datetime64[ns]', length=2148, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-02-24 08:45:00', '2008-02-24 09:00:00',
               '2008-02-24 09:15:00', '2008-02-24 09:30:00',
               '2008-02-24 09:45:00', '2008-02-24 10:00:00',
               '2008-02-24 10:15:00', '2008-02-24 10:30:00',
               '2008-02-24 10:45:00', '2008-02-24 11:00:00',
               ...
               '2008-02-28 06:45:00', '2008-02-28 07:00:00',
               '2008-02-28 07:15:00', '2008-02-28 07:30:00',
               '2008-02-28 07:45:00', '2008-02-28 08:00:00',
               '2008-02-28 08:15:00', '2008-02-28 08:30:00',
               '2008-02-28 08:45:00', '2008-02-28 09:00:00'],
              dtype='datetime64[ns]', length=386, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.51, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2008-02-01 00:00:00', '2008-02-01 00:15:00',
               '2008-02-01 00:30:00', '2008-02-01 00:45:00',
               '2008-02-01 01:00:00', '2008-02-01 01:15:00',
               '2008-02-01 01:30:00', '2008-02-01 01:45:00',
               '2008-02-01 02:00:00', '2008-02-01 02:15:00',
               ...
               '2008-02-26 07:00:00', '2008-02-26 07:15:00',
               '2008-02-26 07:30:00', '2008-02-26 07:45:00',
               '2008-02-26 08:00:00', '2008-02-26 08:15:00',
               '2008-02-26 08:30:00', '2008-02-26 08:45:00',
               '2008-02-26 09:00:00', '2008-02-26 09:15:00'],
              dtype='datetime64[ns]', length=2438, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-02-01 00:00:00', '2008-02-01 00:15:00',
               '2008-02-01 00:30:00', '2008-02-01 00:45:00',
               '2008-02-01 01:00:00', '2008-02-01 01:15:00',
               '2008-02-01 01:30:00', '2008-02-01 01:45:00',
               '2008-02-01 02:00:00', '2008-02-01 02:15:00',
               ...
               '2008-02-28 06:30:00', '2008-02-28 06:45:00',
               '2008-02-28 07:00:00', '2008-02-28 07:15:00',
               '2008-02-28 07:30:00', '2008-02-28 07:45:00',
               '2008-02-28 08:00:00', '2008-02-28 08:15:00',
               '2008-02-28 08:30:00', '2008-02-28 08:45:00'],
              dtype='datetime64[ns]', length=2628, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-02-29 08:45:00', '2008-02-29 09:00:00',
               '2008-02-29 09:15:00', '2008-02-29 09:30:00',
               '2008-02-29 09:45:00', '2008-02-29 10:00:00',
               '2008-02-29 10:15:00', '2008-02-29 10:30:00',
               '2008-02-29 10:45:00', '2008-02-29 11:00:00',
               '2008-02-29 11:15:00', '2008-02-29 11:30:00',
               '2008-02-29 11:45:00', '2008-02-29 12:00:00',
               '2008-02-29 12:15:00', '2008-02-29 12:30:00',
               '2008-02-29 12:45:00', '2008-02-29 13:00:00',
               '2008-02-29 13:15:00', '2008-02-29 13:30:00',
               '2008-02-29 13:45:00', '2008-02-29 14:00:00',
               '2008-02-29 14:15:00', '2008-02-29 14:30:00',
               '2008-02-29 14:45:00', '2008-02-29 15:00:00',
               '2008-02-29 15:15:00', '2008-02-29 15:30:00',
               '2008-02-29 15:45:00', '2008-02-29 16:00:00',
               '2008-02-29 16:15:00', '2008-02-29 16:30:00',
               '2008-02-29 16:45:00', '2008-02-29 17:00:00',
               '2008-02-29 17:15:00', '2008-02-29 17:30:00',
               '2008-02-29 17:45:00', '2008-02-29 18:00:00',
               '2008-02-29 18:15:00', '2008-02-29 18:30:00',
               '2008-02-29 18:45:00', '2008-02-29 19:00:00',
               '2008-02-29 19:15:00', '2008-02-29 19:30:00',
               '2008-02-29 19:45:00', '2008-02-29 20:00:00',
               '2008-02-29 20:15:00', '2008-02-29 20:30:00',
               '2008-02-29 20:45:00', '2008-02-29 21:00:00',
               '2008-02-29 21:15:00', '2008-02-29 21:30:00',
               '2008-02-29 21:45:00', '2008-02-29 22:00:00',
               '2008-02-29 22:15:00', '2008-02-29 22:30:00',
               '2008-02-29 22:45:00', '2008-02-29 23:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-2-1T00 to 2008-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-02-01 00:00:00', '2008-02-01 00:15:00',
               '2008-02-01 00:30:00', '2008-02-01 00:45:00',
               '2008-02-01 01:00:00', '2008-02-01 01:15:00',
               '2008-02-01 01:30:00', '2008-02-01 01:45:00',
               '2008-02-01 02:00:00', '2008-02-01 02:15:00',
               '2008-02-01 02:30:00', '2008-02-01 02:45:00',
               '2008-02-01 03:00:00', '2008-02-01 03:15:00',
               '2008-02-01 03:30:00', '2008-02-01 03:45:00',
               '2008-02-01 04:00:00', '2008-02-01 04:15:00',
               '2008-02-01 04:30:00', '2008-02-01 04:45:00',
               '2008-02-01 05:00:00', '2008-02-01 05:15:00',
               '2008-02-01 05:30:00', '2008-02-01 05:45:00',
               '2008-02-01 06:00:00', '2008-02-01 06:15:00',
               '2008-02-01 06:30:00', '2008-02-01 06:45:00',
               '2008-02-01 07:00:00', '2008-02-01 07:15:00',
               '2008-02-01 07:30:00', '2008-02-01 07:45:00',
               '2008-02-01 08:00:00', '2008-02-01 08:15:00',
               '2008-02-01 08:30:00', '2008-02-01 08:45:00',
               '2008-02-01 09:00:00', '2008-02-15 15:15:00',
               '2008-02-15 15:30:00', '2008-02-15 15:45:00',
               '2008-02-15 16:15:00', '2008-02-15 16:30:00',
               '2008-02-15 16:45:00', '2008-02-15 17:00:00',
               '2008-02-15 17:15:00', '2008-02-15 17:30:00',
               '2008-02-15 17:45:00', '2008-02-15 18:00:00',
               '2008-02-15 19:15:00', '2008-02-15 19:30:00',
               '2008-02-15 19:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-2-1T00 to 2008-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-03-01 00:00:00', '2008-03-01 00:15:00',
               '2008-03-01 00:30:00', '2008-03-01 00:45:00',
               '2008-03-01 01:00:00', '2008-03-01 01:15:00',
               '2008-03-01 01:30:00', '2008-03-01 01:45:00',
               '2008-03-01 02:00:00', '2008-03-01 02:15:00',
               '2008-03-01 02:30:00', '2008-03-01 02:45:00',
               '2008-03-01 03:00:00', '2008-03-01 03:15:00',
               '2008-03-01 03:30:00', '2008-03-01 03:45:00',
               '2008-03-01 04:00:00', '2008-03-01 04:15:00',
               '2008-03-01 04:30:00', '2008-03-01 04:45:00',
               '2008-03-01 05:00:00', '2008-03-01 05:15:00',
               '2008-03-01 05:30:00', '2008-03-01 05:45:00',
               '2008-03-01 06:00:00', '2008-03-01 06:15:00',
               '2008-03-01 06:30:00', '2008-03-01 06:45:00',
               '2008-03-01 07:00:00', '2008-03-01 07:15:00',
               '2008-03-01 07:30:00', '2008-03-01 07:45:00',
               '2008-03-01 08:00:00', '2008-03-01 08:15:00',
               '2008-03-01 08:30:00', '2008-03-01 08:45:00',
               '2008-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15271000.
{L:124} max data value: 16.36, max INDEP value is 14.29
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-03-29 18:45:00', '2008-03-29 19:00:00',
               '2008-03-29 19:15:00', '2008-03-29 19:30:00',
               '2008-03-29 19:45:00', '2008-03-29 20:00:00',
               '2008-03-29 20:15:00', '2008-03-29 20:30:00',
               '2008-03-29 20:45:00', '2008-03-29 21:00:00',
               ...
               '2008-03-31 20:45:00', '2008-03-31 21:00:00',
               '2008-03-31 21:15:00', '2008-03-31 21:30:00',
               '2008-03-31 21:45:00', '2008-03-31 22:00:00',
               '2008-03-31 22:15:00', '2008-03-31 22:30:00',
               '2008-03-31 22:45:00', '2008-03-31 23:00:00'],
              dtype='datetime64[ns]', length=210, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-03-01 00:00:00', '2008-03-01 00:15:00',
               '2008-03-01 00:30:00', '2008-03-01 00:45:00',
               '2008-03-01 01:00:00', '2008-03-01 01:15:00',
               '2008-03-01 01:30:00', '2008-03-01 01:45:00',
               '2008-03-01 02:00:00', '2008-03-01 02:15:00',
               '2008-03-01 02:30:00', '2008-03-01 02:45:00',
               '2008-03-01 03:00:00', '2008-03-01 03:15:00',
               '2008-03-01 03:30:00', '2008-03-01 03:45:00',
               '2008-03-01 04:00:00', '2008-03-01 04:15:00',
               '2008-03-01 04:30:00', '2008-03-01 04:45:00',
               '2008-03-01 05:00:00', '2008-03-01 05:15:00',
               '2008-03-01 05:30:00', '2008-03-01 05:45:00',
               '2008-03-01 06:00:00', '2008-03-01 06:15:00',
               '2008-03-01 06:30:00', '2008-03-01 06:45:00',
               '2008-03-01 07:00:00', '2008-03-01 07:15:00',
               '2008-03-01 07:30:00', '2008-03-01 07:45:00',
               '2008-03-01 08:00:00', '2008-03-01 08:15:00',
               '2008-03-01 08:30:00', '2008-03-01 08:45:00',
               '2008-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-03-01 00:00:00', '2008-03-01 00:15:00',
               '2008-03-01 00:30:00', '2008-03-01 00:45:00',
               '2008-03-01 01:00:00', '2008-03-01 01:15:00',
               '2008-03-01 01:30:00', '2008-03-01 01:45:00',
               '2008-03-01 02:00:00', '2008-03-01 02:15:00',
               ...
               '2008-03-30 05:45:00', '2008-03-30 06:00:00',
               '2008-03-30 06:15:00', '2008-03-30 06:30:00',
               '2008-03-30 06:45:00', '2008-03-30 07:00:00',
               '2008-03-30 07:15:00', '2008-03-30 07:30:00',
               '2008-03-30 07:45:00', '2008-03-30 08:00:00'],
              dtype='datetime64[ns]', length=1385, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.49, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-03-01 00:00:00', '2008-03-01 00:15:00',
               '2008-03-01 00:30:00', '2008-03-01 00:45:00',
               '2008-03-01 01:00:00', '2008-03-01 01:15:00',
               '2008-03-01 01:30:00', '2008-03-01 01:45:00',
               '2008-03-01 02:00:00', '2008-03-01 02:15:00',
               ...
               '2008-03-10 05:30:00', '2008-03-10 05:45:00',
               '2008-03-10 06:00:00', '2008-03-10 06:15:00',
               '2008-03-10 06:30:00', '2008-03-10 06:45:00',
               '2008-03-10 07:00:00', '2008-03-10 07:15:00',
               '2008-03-10 07:30:00', '2008-03-10 07:45:00'],
              dtype='datetime64[ns]', length=896, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-03-23 21:45:00', '2008-03-23 22:00:00',
               '2008-03-23 22:15:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-03-01 00:00:00', '2008-03-01 00:15:00',
               '2008-03-01 00:30:00', '2008-03-01 00:45:00',
               '2008-03-01 01:00:00', '2008-03-01 01:15:00',
               '2008-03-01 01:30:00', '2008-03-01 01:45:00',
               '2008-03-01 02:00:00', '2008-03-01 02:15:00',
               ...
               '2008-03-03 06:45:00', '2008-03-03 07:00:00',
               '2008-03-03 07:15:00', '2008-03-03 07:30:00',
               '2008-03-03 07:45:00', '2008-03-03 08:00:00',
               '2008-03-03 08:15:00', '2008-03-03 08:30:00',
               '2008-03-03 08:45:00', '2008-03-03 09:00:00'],
              dtype='datetime64[ns]', length=229, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-3-1T00 to 2008-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-03-01 00:00:00', '2008-03-01 00:15:00',
               '2008-03-01 00:30:00', '2008-03-01 00:45:00',
               '2008-03-01 01:00:00', '2008-03-01 01:15:00',
               '2008-03-01 01:30:00', '2008-03-01 01:45:00',
               '2008-03-01 02:00:00', '2008-03-01 02:15:00',
               '2008-03-01 02:30:00', '2008-03-01 02:45:00',
               '2008-03-01 03:00:00', '2008-03-01 03:15:00',
               '2008-03-01 03:30:00', '2008-03-01 03:45:00',
               '2008-03-01 04:00:00', '2008-03-01 04:15:00',
               '2008-03-01 04:30:00', '2008-03-01 04:45:00',
               '2008-03-01 05:00:00', '2008-03-01 05:15:00',
               '2008-03-01 05:30:00', '2008-03-01 05:45:00',
               '2008-03-01 06:00:00', '2008-03-01 06:15:00',
               '2008-03-01 06:30:00', '2008-03-01 06:45:00',
               '2008-03-01 07:00:00', '2008-03-01 07:15:00',
               '2008-03-01 07:30:00', '2008-03-01 07:45:00',
               '2008-03-01 08:00:00', '2008-03-01 08:15:00',
               '2008-03-01 08:30:00', '2008-03-01 08:45:00',
               '2008-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-3-1T00 to 2008-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               '2008-04-01 02:30:00', '2008-04-01 02:45:00',
               '2008-04-01 03:00:00', '2008-04-01 03:15:00',
               '2008-04-01 03:30:00', '2008-04-01 03:45:00',
               '2008-04-01 04:00:00', '2008-04-01 04:15:00',
               '2008-04-01 04:30:00', '2008-04-01 04:45:00',
               '2008-04-01 05:00:00', '2008-04-01 05:15:00',
               '2008-04-01 05:30:00', '2008-04-01 05:45:00',
               '2008-04-01 06:00:00', '2008-04-01 06:15:00',
               '2008-04-01 06:30:00', '2008-04-01 06:45:00',
               '2008-04-01 07:00:00', '2008-04-01 07:15:00',
               '2008-04-01 07:30:00', '2008-04-01 07:45:00',
               '2008-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               ...
               '2008-04-03 17:45:00', '2008-04-03 18:00:00',
               '2008-04-03 18:15:00', '2008-04-03 18:30:00',
               '2008-04-03 18:45:00', '2008-04-03 19:00:00',
               '2008-04-03 19:15:00', '2008-04-03 19:30:00',
               '2008-04-03 19:45:00', '2008-04-03 20:00:00'],
              dtype='datetime64[ns]', length=273, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               ...
               '2008-04-18 05:30:00', '2008-04-18 05:45:00',
               '2008-04-18 06:00:00', '2008-04-18 06:15:00',
               '2008-04-18 06:30:00', '2008-04-18 06:45:00',
               '2008-04-18 07:00:00', '2008-04-18 07:15:00',
               '2008-04-18 07:30:00', '2008-04-18 07:45:00'],
              dtype='datetime64[ns]', length=1664, freq='15T').
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               ...
               '2008-04-03 17:45:00', '2008-04-03 18:00:00',
               '2008-04-03 18:15:00', '2008-04-03 18:30:00',
               '2008-04-03 18:45:00', '2008-04-03 19:00:00',
               '2008-04-03 19:15:00', '2008-04-03 19:30:00',
               '2008-04-03 19:45:00', '2008-04-03 20:00:00'],
              dtype='datetime64[ns]', length=273, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-11 19:30:00', '2008-04-11 19:45:00',
               '2008-04-11 20:00:00', '2008-04-11 20:15:00',
               '2008-04-11 20:30:00', '2008-04-11 20:45:00',
               '2008-04-11 21:00:00', '2008-04-11 21:15:00',
               '2008-04-11 21:30:00', '2008-04-11 21:45:00',
               ...
               '2008-04-14 17:45:00', '2008-04-14 18:00:00',
               '2008-04-14 18:15:00', '2008-04-14 18:30:00',
               '2008-04-14 18:45:00', '2008-04-14 19:00:00',
               '2008-04-14 19:15:00', '2008-04-14 19:30:00',
               '2008-04-14 19:45:00', '2008-04-14 20:00:00'],
              dtype='datetime64[ns]', length=291, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-04-07 08:00:00', '2008-04-07 08:15:00',
               '2008-04-07 08:30:00', '2008-04-07 08:45:00',
               '2008-04-07 09:00:00', '2008-04-07 09:15:00',
               '2008-04-07 09:30:00', '2008-04-07 09:45:00',
               '2008-04-07 10:00:00', '2008-04-07 10:15:00',
               ...
               '2008-04-20 05:30:00', '2008-04-20 05:45:00',
               '2008-04-20 06:00:00', '2008-04-20 06:15:00',
               '2008-04-20 06:30:00', '2008-04-20 06:45:00',
               '2008-04-20 07:00:00', '2008-04-20 07:15:00',
               '2008-04-20 07:30:00', '2008-04-20 07:45:00'],
              dtype='datetime64[ns]', length=1248, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               ...
               '2008-04-02 06:30:00', '2008-04-02 06:45:00',
               '2008-04-02 07:00:00', '2008-04-02 07:15:00',
               '2008-04-02 07:30:00', '2008-04-02 07:45:00',
               '2008-04-02 08:00:00', '2008-04-03 20:15:00',
               '2008-04-03 20:30:00', '2008-04-03 20:45:00'],
              dtype='datetime64[ns]', length=132, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               '2008-04-01 02:30:00', '2008-04-01 02:45:00',
               '2008-04-01 03:00:00', '2008-04-01 03:15:00',
               '2008-04-01 03:30:00', '2008-04-01 03:45:00',
               '2008-04-01 04:00:00', '2008-04-01 04:15:00',
               '2008-04-01 04:30:00', '2008-04-01 04:45:00',
               '2008-04-01 05:00:00', '2008-04-01 05:15:00',
               '2008-04-01 05:30:00', '2008-04-01 05:45:00',
               '2008-04-01 06:00:00', '2008-04-01 06:15:00',
               '2008-04-01 06:30:00', '2008-04-01 06:45:00',
               '2008-04-01 07:00:00', '2008-04-01 07:15:00',
               '2008-04-01 07:30:00', '2008-04-01 07:45:00',
               '2008-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               ...
               '2008-04-14 05:45:00', '2008-04-14 06:00:00',
               '2008-04-14 06:15:00', '2008-04-14 06:30:00',
               '2008-04-14 06:45:00', '2008-04-14 07:00:00',
               '2008-04-14 07:15:00', '2008-04-14 07:30:00',
               '2008-04-14 07:45:00', '2008-04-14 08:00:00'],
              dtype='datetime64[ns]', length=803, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               '2008-04-01 02:30:00', '2008-04-01 02:45:00',
               '2008-04-01 03:00:00', '2008-04-01 03:15:00',
               '2008-04-01 03:30:00', '2008-04-01 03:45:00',
               '2008-04-01 04:00:00', '2008-04-01 04:15:00',
               '2008-04-01 04:30:00', '2008-04-01 04:45:00',
               '2008-04-01 05:00:00', '2008-04-01 05:15:00',
               '2008-04-01 05:30:00', '2008-04-01 05:45:00',
               '2008-04-01 06:00:00', '2008-04-01 06:15:00',
               '2008-04-01 06:30:00', '2008-04-01 06:45:00',
               '2008-04-01 07:00:00', '2008-04-01 07:15:00',
               '2008-04-01 07:30:00', '2008-04-01 07:45:00',
               '2008-04-01 08:00:00', '2008-04-26 10:15:00',
               '2008-04-26 10:30:00', '2008-04-26 10:45:00',
               '2008-04-26 11:00:00', '2008-04-26 11:15:00',
               '2008-04-26 11:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               ...
               '2008-04-28 05:30:00', '2008-04-28 05:45:00',
               '2008-04-28 06:00:00', '2008-04-28 06:15:00',
               '2008-04-28 06:30:00', '2008-04-28 06:45:00',
               '2008-04-28 07:00:00', '2008-04-28 07:15:00',
               '2008-04-28 07:30:00', '2008-04-28 07:45:00'],
              dtype='datetime64[ns]', length=2624, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               '2008-04-01 02:30:00', '2008-04-01 02:45:00',
               '2008-04-01 03:00:00', '2008-04-01 03:15:00',
               '2008-04-01 03:30:00', '2008-04-01 03:45:00',
               '2008-04-01 04:00:00', '2008-04-01 04:15:00',
               '2008-04-01 04:30:00', '2008-04-01 04:45:00',
               '2008-04-01 05:00:00', '2008-04-01 05:15:00',
               '2008-04-01 05:30:00', '2008-04-01 05:45:00',
               '2008-04-01 06:00:00', '2008-04-01 06:15:00',
               '2008-04-01 06:30:00', '2008-04-01 06:45:00',
               '2008-04-01 07:00:00', '2008-04-01 07:15:00',
               '2008-04-01 07:30:00', '2008-04-01 07:45:00',
               '2008-04-01 08:00:00', '2008-04-15 19:45:00',
               '2008-04-15 20:00:00', '2008-04-15 20:15:00',
               '2008-04-15 20:30:00', '2008-04-15 21:00:00',
               '2008-04-15 21:15:00', '2008-04-15 21:30:00',
               '2008-04-15 21:45:00', '2008-04-15 22:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-4-1T00 to 2008-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               ...
               '2008-04-27 05:30:00', '2008-04-27 05:45:00',
               '2008-04-27 06:00:00', '2008-04-27 06:15:00',
               '2008-04-27 06:30:00', '2008-04-27 06:45:00',
               '2008-04-27 07:00:00', '2008-04-27 07:15:00',
               '2008-04-27 07:30:00', '2008-04-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-04-01 00:00:00', '2008-04-01 00:15:00',
               '2008-04-01 00:30:00', '2008-04-01 00:45:00',
               '2008-04-01 01:00:00', '2008-04-01 01:15:00',
               '2008-04-01 01:30:00', '2008-04-01 01:45:00',
               '2008-04-01 02:00:00', '2008-04-01 02:15:00',
               '2008-04-01 02:30:00', '2008-04-01 02:45:00',
               '2008-04-01 03:00:00', '2008-04-01 03:15:00',
               '2008-04-01 03:30:00', '2008-04-01 03:45:00',
               '2008-04-01 04:00:00', '2008-04-01 04:15:00',
               '2008-04-01 04:30:00', '2008-04-01 04:45:00',
               '2008-04-01 05:00:00', '2008-04-01 05:15:00',
               '2008-04-01 05:30:00', '2008-04-01 05:45:00',
               '2008-04-01 06:00:00', '2008-04-01 06:15:00',
               '2008-04-01 06:30:00', '2008-04-01 06:45:00',
               '2008-04-01 07:00:00', '2008-04-01 07:15:00',
               '2008-04-01 07:30:00', '2008-04-01 07:45:00',
               '2008-04-01 08:00:00', '2008-04-14 12:30:00',
               '2008-04-14 12:45:00', '2008-04-14 13:00:00',
               '2008-04-23 12:30:00', '2008-04-23 12:45:00',
               '2008-04-23 13:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-4-1T00 to 2008-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               ...
               '2008-05-07 05:45:00', '2008-05-07 06:00:00',
               '2008-05-07 06:15:00', '2008-05-07 06:30:00',
               '2008-05-07 06:45:00', '2008-05-07 07:00:00',
               '2008-05-07 07:15:00', '2008-05-07 07:30:00',
               '2008-05-07 07:45:00', '2008-05-07 08:00:00'],
              dtype='datetime64[ns]', length=609, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               ...
               '2008-05-10 05:45:00', '2008-05-10 06:00:00',
               '2008-05-10 06:15:00', '2008-05-10 06:30:00',
               '2008-05-10 06:45:00', '2008-05-10 07:00:00',
               '2008-05-10 07:15:00', '2008-05-10 07:30:00',
               '2008-05-10 07:45:00', '2008-05-10 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               '2008-05-01 02:30:00', '2008-05-01 02:45:00',
               '2008-05-01 03:00:00', '2008-05-01 03:15:00',
               '2008-05-01 03:30:00', '2008-05-01 03:45:00',
               '2008-05-01 04:00:00', '2008-05-01 04:15:00',
               '2008-05-01 04:30:00', '2008-05-01 04:45:00',
               '2008-05-01 05:00:00', '2008-05-01 05:15:00',
               '2008-05-01 05:30:00', '2008-05-01 05:45:00',
               '2008-05-01 06:00:00', '2008-05-01 06:15:00',
               '2008-05-01 06:30:00', '2008-05-01 06:45:00',
               '2008-05-01 07:00:00', '2008-05-01 07:15:00',
               '2008-05-01 07:30:00', '2008-05-01 07:45:00',
               '2008-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               '2008-05-01 02:30:00', '2008-05-01 02:45:00',
               '2008-05-01 03:00:00', '2008-05-01 03:15:00',
               '2008-05-01 03:30:00', '2008-05-01 03:45:00',
               '2008-05-01 04:00:00', '2008-05-01 04:15:00',
               '2008-05-01 04:30:00', '2008-05-01 04:45:00',
               '2008-05-01 05:00:00', '2008-05-01 05:15:00',
               '2008-05-01 05:30:00', '2008-05-01 05:45:00',
               '2008-05-01 06:00:00', '2008-05-01 06:15:00',
               '2008-05-01 06:30:00', '2008-05-01 06:45:00',
               '2008-05-01 07:00:00', '2008-05-01 07:15:00',
               '2008-05-01 07:30:00', '2008-05-01 07:45:00',
               '2008-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               ...
               '2008-05-31 20:45:00', '2008-05-31 21:00:00',
               '2008-05-31 21:15:00', '2008-05-31 21:30:00',
               '2008-05-31 21:45:00', '2008-05-31 22:00:00',
               '2008-05-31 22:15:00', '2008-05-31 22:30:00',
               '2008-05-31 22:45:00', '2008-05-31 23:00:00'],
              dtype='datetime64[ns]', length=391, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               ...
               '2008-05-09 05:45:00', '2008-05-09 06:00:00',
               '2008-05-09 06:15:00', '2008-05-09 06:30:00',
               '2008-05-09 06:45:00', '2008-05-09 07:00:00',
               '2008-05-09 07:15:00', '2008-05-09 07:30:00',
               '2008-05-09 07:45:00', '2008-05-09 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               '2008-05-01 02:30:00', '2008-05-01 02:45:00',
               '2008-05-01 03:00:00', '2008-05-01 03:15:00',
               '2008-05-01 03:30:00', '2008-05-01 03:45:00',
               '2008-05-01 04:00:00', '2008-05-01 04:15:00',
               '2008-05-01 04:30:00', '2008-05-01 04:45:00',
               '2008-05-01 05:00:00', '2008-05-01 05:15:00',
               '2008-05-01 05:30:00', '2008-05-01 05:45:00',
               '2008-05-01 06:00:00', '2008-05-01 06:15:00',
               '2008-05-01 06:30:00', '2008-05-01 06:45:00',
               '2008-05-01 07:00:00', '2008-05-01 07:15:00',
               '2008-05-01 07:30:00', '2008-05-01 07:45:00',
               '2008-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               '2008-05-01 02:30:00', '2008-05-01 02:45:00',
               '2008-05-01 03:00:00', '2008-05-01 03:15:00',
               '2008-05-01 03:30:00', '2008-05-01 03:45:00',
               '2008-05-01 04:00:00', '2008-05-01 04:15:00',
               '2008-05-01 04:30:00', '2008-05-01 04:45:00',
               '2008-05-01 05:00:00', '2008-05-01 05:15:00',
               '2008-05-01 05:30:00', '2008-05-01 05:45:00',
               '2008-05-01 06:00:00', '2008-05-01 06:15:00',
               '2008-05-01 06:30:00', '2008-05-01 06:45:00',
               '2008-05-01 07:00:00', '2008-05-01 07:15:00',
               '2008-05-01 07:30:00', '2008-05-01 07:45:00',
               '2008-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               '2008-05-01 02:30:00', '2008-05-01 02:45:00',
               '2008-05-01 03:00:00', '2008-05-01 03:15:00',
               '2008-05-01 03:30:00', '2008-05-01 03:45:00',
               '2008-05-01 04:00:00', '2008-05-01 04:15:00',
               '2008-05-01 04:30:00', '2008-05-01 04:45:00',
               '2008-05-01 05:00:00', '2008-05-01 05:15:00',
               '2008-05-01 05:30:00', '2008-05-01 05:45:00',
               '2008-05-01 06:00:00', '2008-05-01 06:15:00',
               '2008-05-01 06:30:00', '2008-05-01 06:45:00',
               '2008-05-01 07:00:00', '2008-05-01 07:15:00',
               '2008-05-01 07:30:00', '2008-05-01 07:45:00',
               '2008-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               ...
               '2008-05-16 05:30:00', '2008-05-16 05:45:00',
               '2008-05-16 06:00:00', '2008-05-16 06:15:00',
               '2008-05-16 06:30:00', '2008-05-16 06:45:00',
               '2008-05-16 07:00:00', '2008-05-16 07:15:00',
               '2008-05-16 07:30:00', '2008-05-16 07:45:00'],
              dtype='datetime64[ns]', length=1472, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-5-1T00 to 2008-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               '2008-05-01 02:30:00', '2008-05-01 02:45:00',
               '2008-05-01 03:00:00', '2008-05-01 03:15:00',
               '2008-05-01 03:30:00', '2008-05-01 03:45:00',
               '2008-05-01 04:00:00', '2008-05-01 04:15:00',
               '2008-05-01 04:30:00', '2008-05-01 04:45:00',
               '2008-05-01 05:00:00', '2008-05-01 05:15:00',
               '2008-05-01 05:30:00', '2008-05-01 05:45:00',
               '2008-05-01 06:00:00', '2008-05-01 06:15:00',
               '2008-05-01 06:30:00', '2008-05-01 06:45:00',
               '2008-05-01 07:00:00', '2008-05-01 07:15:00',
               '2008-05-01 07:30:00', '2008-05-01 07:45:00',
               '2008-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-05-01 00:00:00', '2008-05-01 00:15:00',
               '2008-05-01 00:30:00', '2008-05-01 00:45:00',
               '2008-05-01 01:00:00', '2008-05-01 01:15:00',
               '2008-05-01 01:30:00', '2008-05-01 01:45:00',
               '2008-05-01 02:00:00', '2008-05-01 02:15:00',
               '2008-05-01 02:30:00', '2008-05-01 02:45:00',
               '2008-05-01 03:00:00', '2008-05-01 03:15:00',
               '2008-05-01 03:30:00', '2008-05-01 03:45:00',
               '2008-05-01 04:00:00', '2008-05-01 04:15:00',
               '2008-05-01 04:30:00', '2008-05-01 04:45:00',
               '2008-05-01 05:00:00', '2008-05-01 05:15:00',
               '2008-05-01 05:30:00', '2008-05-01 05:45:00',
               '2008-05-01 06:00:00', '2008-05-01 06:15:00',
               '2008-05-01 06:30:00', '2008-05-01 06:45:00',
               '2008-05-01 07:00:00', '2008-05-01 07:15:00',
               '2008-05-01 07:30:00', '2008-05-01 07:45:00',
               '2008-05-01 08:00:00', '2008-05-04 05:00:00',
               '2008-05-04 05:15:00', '2008-05-04 05:30:00',
               '2008-05-04 06:00:00', '2008-05-04 06:15:00',
               '2008-05-04 06:30:00', '2008-05-04 06:45:00',
               '2008-05-04 07:00:00', '2008-05-04 07:15:00',
               '2008-05-04 07:30:00', '2008-05-04 07:45:00',
               '2008-05-04 08:00:00', '2008-05-04 08:15:00',
               '2008-05-04 08:30:00', '2008-05-04 09:30:00',
               '2008-05-04 09:45:00', '2008-05-04 10:00:00',
               '2008-05-05 02:00:00', '2008-05-05 02:15:00',
               '2008-05-05 02:30:00', '2008-05-06 17:00:00',
               '2008-05-06 17:15:00', '2008-05-06 17:30:00',
               '2008-05-15 14:45:00', '2008-05-15 15:00:00',
               '2008-05-15 15:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-5-1T00 to 2008-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               ...
               '2008-06-10 05:45:00', '2008-06-10 06:00:00',
               '2008-06-10 06:15:00', '2008-06-10 06:30:00',
               '2008-06-10 06:45:00', '2008-06-10 07:00:00',
               '2008-06-10 07:15:00', '2008-06-10 07:30:00',
               '2008-06-10 07:45:00', '2008-06-10 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               ...
               '2008-06-07 05:45:00', '2008-06-07 06:00:00',
               '2008-06-07 06:15:00', '2008-06-07 06:30:00',
               '2008-06-07 06:45:00', '2008-06-07 07:00:00',
               '2008-06-07 07:15:00', '2008-06-07 07:30:00',
               '2008-06-07 07:45:00', '2008-06-07 08:00:00'],
              dtype='datetime64[ns]', length=609, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               ...
               '2008-06-07 05:45:00', '2008-06-07 06:00:00',
               '2008-06-07 06:15:00', '2008-06-07 06:30:00',
               '2008-06-07 06:45:00', '2008-06-07 07:00:00',
               '2008-06-07 07:15:00', '2008-06-07 07:30:00',
               '2008-06-07 07:45:00', '2008-06-07 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00', '2008-06-08 16:30:00',
               '2008-06-08 16:45:00', '2008-06-08 17:00:00',
               '2008-06-08 17:15:00', '2008-06-08 17:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00', '2008-06-27 05:30:00',
               '2008-06-27 05:45:00', '2008-06-27 06:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-6-1T00 to 2008-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-06-01 00:00:00', '2008-06-01 00:15:00',
               '2008-06-01 00:30:00', '2008-06-01 00:45:00',
               '2008-06-01 01:00:00', '2008-06-01 01:15:00',
               '2008-06-01 01:30:00', '2008-06-01 01:45:00',
               '2008-06-01 02:00:00', '2008-06-01 02:15:00',
               '2008-06-01 02:30:00', '2008-06-01 02:45:00',
               '2008-06-01 03:00:00', '2008-06-01 03:15:00',
               '2008-06-01 03:30:00', '2008-06-01 03:45:00',
               '2008-06-01 04:00:00', '2008-06-01 04:15:00',
               '2008-06-01 04:30:00', '2008-06-01 04:45:00',
               '2008-06-01 05:00:00', '2008-06-01 05:15:00',
               '2008-06-01 05:30:00', '2008-06-01 05:45:00',
               '2008-06-01 06:00:00', '2008-06-01 06:15:00',
               '2008-06-01 06:30:00', '2008-06-01 06:45:00',
               '2008-06-01 07:00:00', '2008-06-01 07:15:00',
               '2008-06-01 07:30:00', '2008-06-01 07:45:00',
               '2008-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-6-1T00 to 2008-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00', '2008-07-24 03:00:00',
               '2008-07-24 03:15:00', '2008-07-24 03:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               ...
               '2008-07-06 05:45:00', '2008-07-06 06:00:00',
               '2008-07-06 06:15:00', '2008-07-06 06:30:00',
               '2008-07-06 06:45:00', '2008-07-06 07:00:00',
               '2008-07-06 07:15:00', '2008-07-06 07:30:00',
               '2008-07-06 07:45:00', '2008-07-06 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-7-1T00 to 2008-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-07-01 00:00:00', '2008-07-01 00:15:00',
               '2008-07-01 00:30:00', '2008-07-01 00:45:00',
               '2008-07-01 01:00:00', '2008-07-01 01:15:00',
               '2008-07-01 01:30:00', '2008-07-01 01:45:00',
               '2008-07-01 02:00:00', '2008-07-01 02:15:00',
               '2008-07-01 02:30:00', '2008-07-01 02:45:00',
               '2008-07-01 03:00:00', '2008-07-01 03:15:00',
               '2008-07-01 03:30:00', '2008-07-01 03:45:00',
               '2008-07-01 04:00:00', '2008-07-01 04:15:00',
               '2008-07-01 04:30:00', '2008-07-01 04:45:00',
               '2008-07-01 05:00:00', '2008-07-01 05:15:00',
               '2008-07-01 05:30:00', '2008-07-01 05:45:00',
               '2008-07-01 06:00:00', '2008-07-01 06:15:00',
               '2008-07-01 06:30:00', '2008-07-01 06:45:00',
               '2008-07-01 07:00:00', '2008-07-01 07:15:00',
               '2008-07-01 07:30:00', '2008-07-01 07:45:00',
               '2008-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-7-1T00 to 2008-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               ...
               '2008-08-31 20:45:00', '2008-08-31 21:00:00',
               '2008-08-31 21:15:00', '2008-08-31 21:30:00',
               '2008-08-31 21:45:00', '2008-08-31 22:00:00',
               '2008-08-31 22:15:00', '2008-08-31 22:30:00',
               '2008-08-31 22:45:00', '2008-08-31 23:00:00'],
              dtype='datetime64[ns]', length=479, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               ...
               '2008-08-15 05:45:00', '2008-08-15 06:00:00',
               '2008-08-15 06:15:00', '2008-08-15 06:30:00',
               '2008-08-15 06:45:00', '2008-08-15 07:00:00',
               '2008-08-15 07:15:00', '2008-08-15 07:30:00',
               '2008-08-15 07:45:00', '2008-08-15 08:00:00'],
              dtype='datetime64[ns]', length=803, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-8-1T00 to 2008-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-08-01 00:00:00', '2008-08-01 00:15:00',
               '2008-08-01 00:30:00', '2008-08-01 00:45:00',
               '2008-08-01 01:00:00', '2008-08-01 01:15:00',
               '2008-08-01 01:30:00', '2008-08-01 01:45:00',
               '2008-08-01 02:00:00', '2008-08-01 02:15:00',
               '2008-08-01 02:30:00', '2008-08-01 02:45:00',
               '2008-08-01 03:00:00', '2008-08-01 03:15:00',
               '2008-08-01 03:30:00', '2008-08-01 03:45:00',
               '2008-08-01 04:00:00', '2008-08-01 04:15:00',
               '2008-08-01 04:30:00', '2008-08-01 04:45:00',
               '2008-08-01 05:00:00', '2008-08-01 05:15:00',
               '2008-08-01 05:30:00', '2008-08-01 05:45:00',
               '2008-08-01 06:00:00', '2008-08-01 06:15:00',
               '2008-08-01 06:30:00', '2008-08-01 06:45:00',
               '2008-08-01 07:00:00', '2008-08-01 07:15:00',
               '2008-08-01 07:30:00', '2008-08-01 07:45:00',
               '2008-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-8-1T00 to 2008-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               ...
               '2008-09-30 20:45:00', '2008-09-30 21:00:00',
               '2008-09-30 21:15:00', '2008-09-30 21:30:00',
               '2008-09-30 21:45:00', '2008-09-30 22:00:00',
               '2008-09-30 22:15:00', '2008-09-30 22:30:00',
               '2008-09-30 22:45:00', '2008-09-30 23:00:00'],
              dtype='datetime64[ns]', length=769, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-9-1T00 to 2008-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-09-01 00:00:00', '2008-09-01 00:15:00',
               '2008-09-01 00:30:00', '2008-09-01 00:45:00',
               '2008-09-01 01:00:00', '2008-09-01 01:15:00',
               '2008-09-01 01:30:00', '2008-09-01 01:45:00',
               '2008-09-01 02:00:00', '2008-09-01 02:15:00',
               '2008-09-01 02:30:00', '2008-09-01 02:45:00',
               '2008-09-01 03:00:00', '2008-09-01 03:15:00',
               '2008-09-01 03:30:00', '2008-09-01 03:45:00',
               '2008-09-01 04:00:00', '2008-09-01 04:15:00',
               '2008-09-01 04:30:00', '2008-09-01 04:45:00',
               '2008-09-01 05:00:00', '2008-09-01 05:15:00',
               '2008-09-01 05:30:00', '2008-09-01 05:45:00',
               '2008-09-01 06:00:00', '2008-09-01 06:15:00',
               '2008-09-01 06:30:00', '2008-09-01 06:45:00',
               '2008-09-01 07:00:00', '2008-09-01 07:15:00',
               '2008-09-01 07:30:00', '2008-09-01 07:45:00',
               '2008-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-9-1T00 to 2008-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-10-22 08:00:00', '2008-10-22 08:15:00',
               '2008-10-22 08:30:00', '2008-10-22 08:45:00',
               '2008-10-22 09:00:00', '2008-10-22 09:15:00',
               '2008-10-22 09:30:00', '2008-10-22 09:45:00',
               '2008-10-22 10:00:00', '2008-10-22 10:15:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=925, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=671, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=671, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-30 19:30:00', '2008-10-30 19:45:00',
               '2008-10-30 20:00:00', '2008-10-30 20:15:00',
               '2008-10-30 20:30:00', '2008-10-30 20:45:00',
               '2008-10-30 21:00:00', '2008-10-30 21:15:00',
               '2008-10-30 21:30:00', '2008-10-30 21:45:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=111, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-10-09 08:00:00', '2008-10-09 08:15:00',
               '2008-10-09 08:30:00', '2008-10-09 08:45:00',
               '2008-10-09 09:00:00', '2008-10-09 09:15:00',
               '2008-10-09 09:30:00', '2008-10-09 09:45:00',
               '2008-10-09 10:00:00', '2008-10-09 10:15:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2172, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               ...
               '2008-10-18 05:45:00', '2008-10-18 06:00:00',
               '2008-10-18 06:15:00', '2008-10-18 06:30:00',
               '2008-10-18 06:45:00', '2008-10-18 07:00:00',
               '2008-10-18 07:15:00', '2008-10-18 07:30:00',
               '2008-10-18 07:45:00', '2008-10-18 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=383, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-10-14 08:00:00', '2008-10-14 08:15:00',
               '2008-10-14 08:30:00', '2008-10-14 08:45:00',
               '2008-10-14 09:00:00', '2008-10-14 09:15:00',
               '2008-10-14 09:30:00', '2008-10-14 09:45:00',
               '2008-10-14 10:00:00', '2008-10-14 10:15:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1693, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-10-1T00 to 2008-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-10-23 08:00:00', '2008-10-23 08:15:00',
               '2008-10-23 08:30:00', '2008-10-23 08:45:00',
               '2008-10-23 09:00:00', '2008-10-23 09:15:00',
               '2008-10-23 09:30:00', '2008-10-23 09:45:00',
               '2008-10-23 10:00:00', '2008-10-23 10:15:00',
               ...
               '2008-10-31 20:45:00', '2008-10-31 21:00:00',
               '2008-10-31 21:15:00', '2008-10-31 21:30:00',
               '2008-10-31 21:45:00', '2008-10-31 22:00:00',
               '2008-10-31 22:15:00', '2008-10-31 22:30:00',
               '2008-10-31 22:45:00', '2008-10-31 23:00:00'],
              dtype='datetime64[ns]', length=829, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-10-01 00:00:00', '2008-10-01 00:15:00',
               '2008-10-01 00:30:00', '2008-10-01 00:45:00',
               '2008-10-01 01:00:00', '2008-10-01 01:15:00',
               '2008-10-01 01:30:00', '2008-10-01 01:45:00',
               '2008-10-01 02:00:00', '2008-10-01 02:15:00',
               '2008-10-01 02:30:00', '2008-10-01 02:45:00',
               '2008-10-01 03:00:00', '2008-10-01 03:15:00',
               '2008-10-01 03:30:00', '2008-10-01 03:45:00',
               '2008-10-01 04:00:00', '2008-10-01 04:15:00',
               '2008-10-01 04:30:00', '2008-10-01 04:45:00',
               '2008-10-01 05:00:00', '2008-10-01 05:15:00',
               '2008-10-01 05:30:00', '2008-10-01 05:45:00',
               '2008-10-01 06:00:00', '2008-10-01 06:15:00',
               '2008-10-01 06:30:00', '2008-10-01 06:45:00',
               '2008-10-01 07:00:00', '2008-10-01 07:15:00',
               '2008-10-01 07:30:00', '2008-10-01 07:45:00',
               '2008-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-10-1T00 to 2008-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.86, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-11-01 00:00:00', '2008-11-01 00:15:00',
               '2008-11-01 00:30:00', '2008-11-01 00:45:00',
               '2008-11-01 01:00:00', '2008-11-01 01:15:00',
               '2008-11-01 01:30:00', '2008-11-01 01:45:00',
               '2008-11-01 02:00:00', '2008-11-01 02:15:00',
               '2008-11-01 02:30:00', '2008-11-01 02:45:00',
               '2008-11-01 03:00:00', '2008-11-01 03:15:00',
               '2008-11-01 03:30:00', '2008-11-01 03:45:00',
               '2008-11-01 04:00:00', '2008-11-01 04:15:00',
               '2008-11-01 04:30:00', '2008-11-01 04:45:00',
               '2008-11-01 05:00:00', '2008-11-01 05:15:00',
               '2008-11-01 05:30:00', '2008-11-01 05:45:00',
               '2008-11-01 06:00:00', '2008-11-01 06:15:00',
               '2008-11-01 06:30:00', '2008-11-01 06:45:00',
               '2008-11-01 07:00:00', '2008-11-01 07:15:00',
               '2008-11-01 07:30:00', '2008-11-01 07:45:00',
               '2008-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-11-01 00:00:00', '2008-11-01 00:15:00',
               '2008-11-01 00:30:00', '2008-11-01 00:45:00',
               '2008-11-01 01:00:00', '2008-11-01 01:15:00',
               '2008-11-01 01:30:00', '2008-11-01 01:45:00',
               '2008-11-01 02:00:00', '2008-11-01 02:15:00',
               ...
               '2008-11-30 20:45:00', '2008-11-30 21:00:00',
               '2008-11-30 21:15:00', '2008-11-30 21:30:00',
               '2008-11-30 21:45:00', '2008-11-30 22:00:00',
               '2008-11-30 22:15:00', '2008-11-30 22:30:00',
               '2008-11-30 22:45:00', '2008-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1441, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-11-18 09:00:00', '2008-11-18 09:15:00',
               '2008-11-18 09:30:00', '2008-11-18 09:45:00',
               '2008-11-18 10:00:00', '2008-11-18 10:15:00',
               '2008-11-18 10:30:00', '2008-11-18 10:45:00',
               '2008-11-18 11:00:00', '2008-11-18 11:15:00',
               ...
               '2008-11-30 20:45:00', '2008-11-30 21:00:00',
               '2008-11-30 21:15:00', '2008-11-30 21:30:00',
               '2008-11-30 21:45:00', '2008-11-30 22:00:00',
               '2008-11-30 22:15:00', '2008-11-30 22:30:00',
               '2008-11-30 22:45:00', '2008-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1209, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-11-01 00:00:00', '2008-11-01 00:15:00',
               '2008-11-01 00:30:00', '2008-11-01 00:45:00',
               '2008-11-01 01:00:00', '2008-11-01 01:15:00',
               '2008-11-01 01:30:00', '2008-11-01 01:45:00',
               '2008-11-01 02:00:00', '2008-11-01 02:15:00',
               ...
               '2008-11-03 06:45:00', '2008-11-03 07:00:00',
               '2008-11-03 07:15:00', '2008-11-03 07:30:00',
               '2008-11-03 07:45:00', '2008-11-03 08:00:00',
               '2008-11-03 08:15:00', '2008-11-03 08:30:00',
               '2008-11-03 08:45:00', '2008-11-03 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-11-01 00:00:00', '2008-11-01 00:15:00',
               '2008-11-01 00:30:00', '2008-11-01 00:45:00',
               '2008-11-01 01:00:00', '2008-11-01 01:15:00',
               '2008-11-01 01:30:00', '2008-11-01 01:45:00',
               '2008-11-01 02:00:00', '2008-11-01 02:15:00',
               ...
               '2008-11-30 20:45:00', '2008-11-30 21:00:00',
               '2008-11-30 21:15:00', '2008-11-30 21:30:00',
               '2008-11-30 21:45:00', '2008-11-30 22:00:00',
               '2008-11-30 22:15:00', '2008-11-30 22:30:00',
               '2008-11-30 22:45:00', '2008-11-30 23:00:00'],
              dtype='datetime64[ns]', length=861, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-11-1T00 to 2008-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-11-01 00:00:00', '2008-11-01 00:15:00',
               '2008-11-01 00:30:00', '2008-11-01 00:45:00',
               '2008-11-01 01:00:00', '2008-11-01 01:15:00',
               '2008-11-01 01:30:00', '2008-11-01 01:45:00',
               '2008-11-01 02:00:00', '2008-11-01 02:15:00',
               '2008-11-01 02:30:00', '2008-11-01 02:45:00',
               '2008-11-01 03:00:00', '2008-11-01 03:15:00',
               '2008-11-01 03:30:00', '2008-11-01 03:45:00',
               '2008-11-01 04:00:00', '2008-11-01 04:15:00',
               '2008-11-01 04:30:00', '2008-11-01 04:45:00',
               '2008-11-01 05:00:00', '2008-11-01 05:15:00',
               '2008-11-01 05:30:00', '2008-11-01 05:45:00',
               '2008-11-01 06:00:00', '2008-11-01 06:15:00',
               '2008-11-01 06:30:00', '2008-11-01 06:45:00',
               '2008-11-01 07:00:00', '2008-11-01 07:15:00',
               '2008-11-01 07:30:00', '2008-11-01 07:45:00',
               '2008-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-11-1T00 to 2008-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-12-12 20:30:00', '2008-12-12 20:45:00',
               '2008-12-12 21:00:00', '2008-12-28 20:30:00',
               '2008-12-28 20:45:00', '2008-12-28 21:00:00',
               '2008-12-28 21:15:00', '2008-12-28 21:30:00',
               '2008-12-28 21:45:00', '2008-12-28 22:00:00',
               ...
               '2008-12-31 20:45:00', '2008-12-31 21:00:00',
               '2008-12-31 21:15:00', '2008-12-31 21:30:00',
               '2008-12-31 21:45:00', '2008-12-31 22:00:00',
               '2008-12-31 22:15:00', '2008-12-31 22:30:00',
               '2008-12-31 22:45:00', '2008-12-31 23:00:00'],
              dtype='datetime64[ns]', length=302, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-12-22 20:30:00', '2008-12-22 20:45:00',
               '2008-12-22 21:00:00', '2008-12-22 21:15:00',
               '2008-12-22 21:30:00', '2008-12-22 21:45:00',
               '2008-12-22 22:00:00', '2008-12-22 22:15:00',
               '2008-12-22 22:30:00', '2008-12-22 22:45:00',
               ...
               '2008-12-26 18:45:00', '2008-12-26 19:00:00',
               '2008-12-26 19:15:00', '2008-12-26 19:30:00',
               '2008-12-26 19:45:00', '2008-12-26 20:00:00',
               '2008-12-26 20:15:00', '2008-12-26 20:30:00',
               '2008-12-26 20:45:00', '2008-12-26 21:00:00'],
              dtype='datetime64[ns]', length=387, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-12-01 00:00:00', '2008-12-01 00:15:00',
               '2008-12-01 00:30:00', '2008-12-01 00:45:00',
               '2008-12-01 01:00:00', '2008-12-01 01:15:00',
               '2008-12-01 01:30:00', '2008-12-01 01:45:00',
               '2008-12-01 02:00:00', '2008-12-01 02:15:00',
               '2008-12-01 02:30:00', '2008-12-01 02:45:00',
               '2008-12-01 03:00:00', '2008-12-01 03:15:00',
               '2008-12-01 03:30:00', '2008-12-01 03:45:00',
               '2008-12-01 04:00:00', '2008-12-01 04:15:00',
               '2008-12-01 04:30:00', '2008-12-01 04:45:00',
               '2008-12-01 05:00:00', '2008-12-01 05:15:00',
               '2008-12-01 05:30:00', '2008-12-01 05:45:00',
               '2008-12-01 06:00:00', '2008-12-01 06:15:00',
               '2008-12-01 06:30:00', '2008-12-01 06:45:00',
               '2008-12-01 07:00:00', '2008-12-01 07:15:00',
               '2008-12-01 07:30:00', '2008-12-01 07:45:00',
               '2008-12-01 08:00:00', '2008-12-01 08:15:00',
               '2008-12-01 08:30:00', '2008-12-01 08:45:00',
               '2008-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-12-11 09:00:00', '2008-12-11 09:15:00',
               '2008-12-11 09:30:00', '2008-12-11 09:45:00',
               '2008-12-11 10:00:00', '2008-12-11 10:15:00',
               '2008-12-11 10:30:00', '2008-12-11 10:45:00',
               '2008-12-11 11:00:00', '2008-12-11 11:15:00',
               ...
               '2008-12-31 20:45:00', '2008-12-31 21:00:00',
               '2008-12-31 21:15:00', '2008-12-31 21:30:00',
               '2008-12-31 21:45:00', '2008-12-31 22:00:00',
               '2008-12-31 22:15:00', '2008-12-31 22:30:00',
               '2008-12-31 22:45:00', '2008-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-12-01 00:00:00', '2008-12-01 00:15:00',
               '2008-12-01 00:30:00', '2008-12-01 00:45:00',
               '2008-12-01 01:00:00', '2008-12-01 01:15:00',
               '2008-12-01 01:30:00', '2008-12-01 01:45:00',
               '2008-12-01 02:00:00', '2008-12-01 02:15:00',
               ...
               '2008-12-04 06:45:00', '2008-12-04 07:00:00',
               '2008-12-04 07:15:00', '2008-12-04 07:30:00',
               '2008-12-04 07:45:00', '2008-12-04 08:00:00',
               '2008-12-04 08:15:00', '2008-12-04 08:30:00',
               '2008-12-04 08:45:00', '2008-12-04 09:00:00'],
              dtype='datetime64[ns]', length=325, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.73, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2008-12-09 09:00:00', '2008-12-09 09:15:00',
               '2008-12-09 09:30:00', '2008-12-09 09:45:00',
               '2008-12-09 10:00:00', '2008-12-09 10:15:00',
               '2008-12-09 10:30:00', '2008-12-09 10:45:00',
               '2008-12-09 11:00:00', '2008-12-09 11:15:00',
               ...
               '2008-12-31 20:45:00', '2008-12-31 21:00:00',
               '2008-12-31 21:15:00', '2008-12-31 21:30:00',
               '2008-12-31 21:45:00', '2008-12-31 22:00:00',
               '2008-12-31 22:15:00', '2008-12-31 22:30:00',
               '2008-12-31 22:45:00', '2008-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2169, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-12-01 00:00:00', '2008-12-01 00:15:00',
               '2008-12-01 00:30:00', '2008-12-01 00:45:00',
               '2008-12-01 01:00:00', '2008-12-01 01:15:00',
               '2008-12-01 01:30:00', '2008-12-01 01:45:00',
               '2008-12-01 02:00:00', '2008-12-01 02:15:00',
               ...
               '2008-12-05 06:45:00', '2008-12-05 07:00:00',
               '2008-12-05 07:15:00', '2008-12-05 07:30:00',
               '2008-12-05 07:45:00', '2008-12-05 08:00:00',
               '2008-12-05 08:15:00', '2008-12-05 08:30:00',
               '2008-12-05 08:45:00', '2008-12-05 09:00:00'],
              dtype='datetime64[ns]', length=421, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2008-12-1T00 to 2008-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2008-12-01 00:00:00', '2008-12-01 00:15:00',
               '2008-12-01 00:30:00', '2008-12-01 00:45:00',
               '2008-12-01 01:00:00', '2008-12-01 01:15:00',
               '2008-12-01 01:30:00', '2008-12-01 01:45:00',
               '2008-12-01 02:00:00', '2008-12-01 02:15:00',
               '2008-12-01 02:30:00', '2008-12-01 02:45:00',
               '2008-12-01 03:00:00', '2008-12-01 03:15:00',
               '2008-12-01 03:30:00', '2008-12-01 03:45:00',
               '2008-12-01 04:00:00', '2008-12-01 04:15:00',
               '2008-12-01 04:30:00', '2008-12-01 04:45:00',
               '2008-12-01 05:00:00', '2008-12-01 05:15:00',
               '2008-12-01 05:30:00', '2008-12-01 05:45:00',
               '2008-12-01 06:00:00', '2008-12-01 06:15:00',
               '2008-12-01 06:30:00', '2008-12-01 06:45:00',
               '2008-12-01 07:00:00', '2008-12-01 07:15:00',
               '2008-12-01 07:30:00', '2008-12-01 07:45:00',
               '2008-12-01 08:00:00', '2008-12-01 08:15:00',
               '2008-12-01 08:30:00', '2008-12-01 08:45:00',
               '2008-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2008-12-1T00 to 2008-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2009

year = 2009
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2009-01-01 00:00:00', '2009-01-01 00:15:00',
               '2009-01-01 00:30:00', '2009-01-01 00:45:00',
               '2009-01-01 01:00:00', '2009-01-01 01:15:00',
               '2009-01-01 01:30:00', '2009-01-01 01:45:00',
               '2009-01-01 02:00:00', '2009-01-01 02:15:00',
               ...
               '2009-01-20 18:30:00', '2009-01-20 18:45:00',
               '2009-01-20 19:00:00', '2009-01-20 19:15:00',
               '2009-01-20 19:30:00', '2009-01-20 19:45:00',
               '2009-01-20 20:00:00', '2009-01-20 20:15:00',
               '2009-01-20 20:30:00', '2009-01-20 20:45:00'],
              dtype='datetime64[ns]', length=1908, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-01-07 20:30:00', '2009-01-07 20:45:00',
               '2009-01-07 21:00:00', '2009-01-07 21:15:00',
               '2009-01-07 21:30:00', '2009-01-07 21:45:00',
               '2009-01-07 22:00:00', '2009-01-07 22:15:00',
               '2009-01-07 22:30:00', '2009-01-07 22:45:00',
               ...
               '2009-01-13 18:45:00', '2009-01-13 19:00:00',
               '2009-01-13 19:15:00', '2009-01-13 19:30:00',
               '2009-01-13 19:45:00', '2009-01-13 20:00:00',
               '2009-01-13 20:15:00', '2009-01-13 20:30:00',
               '2009-01-13 20:45:00', '2009-01-13 21:00:00'],
              dtype='datetime64[ns]', length=579, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-01-01 00:00:00', '2009-01-01 00:15:00',
               '2009-01-01 00:30:00', '2009-01-01 00:45:00',
               '2009-01-01 01:00:00', '2009-01-01 01:15:00',
               '2009-01-01 01:30:00', '2009-01-01 01:45:00',
               '2009-01-01 02:00:00', '2009-01-01 02:15:00',
               '2009-01-01 02:30:00', '2009-01-01 02:45:00',
               '2009-01-01 03:00:00', '2009-01-01 03:15:00',
               '2009-01-01 03:30:00', '2009-01-01 03:45:00',
               '2009-01-01 04:00:00', '2009-01-01 04:15:00',
               '2009-01-01 04:30:00', '2009-01-01 04:45:00',
               '2009-01-01 05:00:00', '2009-01-01 05:15:00',
               '2009-01-01 05:30:00', '2009-01-01 05:45:00',
               '2009-01-01 06:00:00', '2009-01-01 06:15:00',
               '2009-01-01 06:30:00', '2009-01-01 06:45:00',
               '2009-01-01 07:00:00', '2009-01-01 07:15:00',
               '2009-01-01 07:30:00', '2009-01-01 07:45:00',
               '2009-01-01 08:00:00', '2009-01-01 08:15:00',
               '2009-01-01 08:30:00', '2009-01-01 08:45:00',
               '2009-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-01-01 00:00:00', '2009-01-01 00:15:00',
               '2009-01-01 00:30:00', '2009-01-01 00:45:00',
               '2009-01-01 01:00:00', '2009-01-01 01:15:00',
               '2009-01-01 01:30:00', '2009-01-01 01:45:00',
               '2009-01-01 02:00:00', '2009-01-01 02:15:00',
               ...
               '2009-01-18 06:30:00', '2009-01-18 06:45:00',
               '2009-01-18 07:00:00', '2009-01-18 07:15:00',
               '2009-01-18 07:30:00', '2009-01-18 07:45:00',
               '2009-01-18 08:00:00', '2009-01-18 08:15:00',
               '2009-01-18 08:30:00', '2009-01-18 08:45:00'],
              dtype='datetime64[ns]', length=1668, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-01-21 08:45:00', '2009-01-21 09:00:00',
               '2009-01-21 09:15:00', '2009-01-21 09:30:00',
               '2009-01-21 09:45:00', '2009-01-21 10:00:00',
               '2009-01-21 10:15:00', '2009-01-21 10:30:00',
               '2009-01-21 10:45:00', '2009-01-21 11:00:00',
               ...
               '2009-01-31 20:45:00', '2009-01-31 21:00:00',
               '2009-01-31 21:15:00', '2009-01-31 21:30:00',
               '2009-01-31 21:45:00', '2009-01-31 22:00:00',
               '2009-01-31 22:15:00', '2009-01-31 22:30:00',
               '2009-01-31 22:45:00', '2009-01-31 23:00:00'],
              dtype='datetime64[ns]', length=732, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.67, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15284000.
{L:124} max data value: 16.3, max INDEP value is 15.5
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-1-1T00 to 2009-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-01-01 00:00:00', '2009-01-01 00:15:00',
               '2009-01-01 00:30:00', '2009-01-01 00:45:00',
               '2009-01-01 01:00:00', '2009-01-01 01:15:00',
               '2009-01-01 01:30:00', '2009-01-01 01:45:00',
               '2009-01-01 02:00:00', '2009-01-01 02:15:00',
               '2009-01-01 02:30:00', '2009-01-01 02:45:00',
               '2009-01-01 03:00:00', '2009-01-01 03:15:00',
               '2009-01-01 03:30:00', '2009-01-01 03:45:00',
               '2009-01-01 04:00:00', '2009-01-01 04:15:00',
               '2009-01-01 04:30:00', '2009-01-01 04:45:00',
               '2009-01-01 05:00:00', '2009-01-01 05:15:00',
               '2009-01-01 05:30:00', '2009-01-01 05:45:00',
               '2009-01-01 06:00:00', '2009-01-01 06:15:00',
               '2009-01-01 06:30:00', '2009-01-01 06:45:00',
               '2009-01-01 07:00:00', '2009-01-01 07:15:00',
               '2009-01-01 07:30:00', '2009-01-01 07:45:00',
               '2009-01-01 08:00:00', '2009-01-01 08:15:00',
               '2009-01-01 08:30:00', '2009-01-01 08:45:00',
               '2009-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-1-1T00 to 2009-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-02-01 00:00:00', '2009-02-01 00:15:00',
               '2009-02-01 00:30:00', '2009-02-01 00:45:00',
               '2009-02-01 01:00:00', '2009-02-01 01:15:00',
               '2009-02-01 01:30:00', '2009-02-01 01:45:00',
               '2009-02-01 02:00:00', '2009-02-01 02:15:00',
               ...
               '2009-02-02 06:45:00', '2009-02-02 07:00:00',
               '2009-02-02 07:15:00', '2009-02-02 07:30:00',
               '2009-02-02 07:45:00', '2009-02-02 08:00:00',
               '2009-02-02 08:15:00', '2009-02-02 08:30:00',
               '2009-02-02 08:45:00', '2009-02-02 09:00:00'],
              dtype='datetime64[ns]', length=133, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-02-01 00:00:00', '2009-02-01 00:15:00',
               '2009-02-01 00:30:00', '2009-02-01 00:45:00',
               '2009-02-01 01:00:00', '2009-02-01 01:15:00',
               '2009-02-01 01:30:00', '2009-02-01 01:45:00',
               '2009-02-01 02:00:00', '2009-02-01 02:15:00',
               '2009-02-01 02:30:00', '2009-02-01 02:45:00',
               '2009-02-01 03:00:00', '2009-02-01 03:15:00',
               '2009-02-01 03:30:00', '2009-02-01 03:45:00',
               '2009-02-01 04:00:00', '2009-02-01 04:15:00',
               '2009-02-01 04:30:00', '2009-02-01 04:45:00',
               '2009-02-01 05:00:00', '2009-02-01 05:15:00',
               '2009-02-01 05:30:00', '2009-02-01 05:45:00',
               '2009-02-01 06:00:00', '2009-02-01 06:15:00',
               '2009-02-01 06:30:00', '2009-02-01 06:45:00',
               '2009-02-01 07:00:00', '2009-02-01 07:15:00',
               '2009-02-01 07:30:00', '2009-02-01 07:45:00',
               '2009-02-01 08:00:00', '2009-02-01 08:15:00',
               '2009-02-01 08:30:00', '2009-02-01 08:45:00',
               '2009-02-01 09:00:00', '2009-02-13 14:00:00',
               '2009-02-13 14:15:00', '2009-02-13 14:30:00',
               '2009-02-13 14:45:00', '2009-02-13 15:00:00',
               '2009-02-13 15:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-02-01 00:00:00', '2009-02-01 00:15:00',
               '2009-02-01 00:30:00', '2009-02-01 00:45:00',
               '2009-02-01 01:00:00', '2009-02-01 01:15:00',
               '2009-02-01 01:30:00', '2009-02-01 01:45:00',
               '2009-02-01 02:00:00', '2009-02-01 02:15:00',
               ...
               '2009-02-19 06:30:00', '2009-02-19 06:45:00',
               '2009-02-19 07:00:00', '2009-02-19 07:15:00',
               '2009-02-19 07:30:00', '2009-02-19 07:45:00',
               '2009-02-19 08:00:00', '2009-02-19 08:15:00',
               '2009-02-19 08:30:00', '2009-02-19 08:45:00'],
              dtype='datetime64[ns]', length=1764, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-02-21 08:45:00', '2009-02-21 09:00:00',
               '2009-02-21 09:15:00', '2009-02-21 09:30:00',
               '2009-02-21 09:45:00', '2009-02-21 10:00:00',
               '2009-02-21 10:15:00', '2009-02-21 10:30:00',
               '2009-02-21 10:45:00', '2009-02-21 11:00:00',
               ...
               '2009-02-28 20:45:00', '2009-02-28 21:00:00',
               '2009-02-28 21:15:00', '2009-02-28 21:30:00',
               '2009-02-28 21:45:00', '2009-02-28 22:00:00',
               '2009-02-28 22:15:00', '2009-02-28 22:30:00',
               '2009-02-28 22:45:00', '2009-02-28 23:00:00'],
              dtype='datetime64[ns]', length=730, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.57, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-2-1T00 to 2009-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-02-01 00:00:00', '2009-02-01 00:15:00',
               '2009-02-01 00:30:00', '2009-02-01 00:45:00',
               '2009-02-01 01:00:00', '2009-02-01 01:15:00',
               '2009-02-01 01:30:00', '2009-02-01 01:45:00',
               '2009-02-01 02:00:00', '2009-02-01 02:15:00',
               '2009-02-01 02:30:00', '2009-02-01 02:45:00',
               '2009-02-01 03:00:00', '2009-02-01 03:15:00',
               '2009-02-01 03:30:00', '2009-02-01 03:45:00',
               '2009-02-01 04:00:00', '2009-02-01 04:15:00',
               '2009-02-01 04:30:00', '2009-02-01 04:45:00',
               '2009-02-01 05:00:00', '2009-02-01 05:15:00',
               '2009-02-01 05:30:00', '2009-02-01 05:45:00',
               '2009-02-01 06:00:00', '2009-02-01 06:15:00',
               '2009-02-01 06:30:00', '2009-02-01 06:45:00',
               '2009-02-01 07:00:00', '2009-02-01 07:15:00',
               '2009-02-01 07:30:00', '2009-02-01 07:45:00',
               '2009-02-01 08:00:00', '2009-02-01 08:15:00',
               '2009-02-01 08:30:00', '2009-02-01 08:45:00',
               '2009-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-2-1T00 to 2009-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-03-01 00:00:00', '2009-03-01 00:15:00',
               '2009-03-01 00:30:00', '2009-03-01 00:45:00',
               '2009-03-01 01:00:00', '2009-03-01 01:15:00',
               '2009-03-01 01:30:00', '2009-03-01 01:45:00',
               '2009-03-01 02:00:00', '2009-03-01 02:15:00',
               ...
               '2009-03-25 05:45:00', '2009-03-25 06:00:00',
               '2009-03-25 06:15:00', '2009-03-25 06:30:00',
               '2009-03-25 06:45:00', '2009-03-25 07:00:00',
               '2009-03-25 07:15:00', '2009-03-25 07:30:00',
               '2009-03-25 07:45:00', '2009-03-25 08:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-03-01 00:00:00', '2009-03-01 00:15:00',
               '2009-03-01 00:30:00', '2009-03-01 00:45:00',
               '2009-03-01 01:00:00', '2009-03-01 01:15:00',
               '2009-03-01 01:30:00', '2009-03-01 01:45:00',
               '2009-03-01 02:00:00', '2009-03-01 02:15:00',
               '2009-03-01 02:30:00', '2009-03-01 02:45:00',
               '2009-03-01 03:00:00', '2009-03-01 03:15:00',
               '2009-03-01 03:30:00', '2009-03-01 03:45:00',
               '2009-03-01 04:00:00', '2009-03-01 04:15:00',
               '2009-03-01 04:30:00', '2009-03-01 04:45:00',
               '2009-03-01 05:00:00', '2009-03-01 05:15:00',
               '2009-03-01 05:30:00', '2009-03-01 05:45:00',
               '2009-03-01 06:00:00', '2009-03-01 06:15:00',
               '2009-03-01 06:30:00', '2009-03-01 06:45:00',
               '2009-03-01 07:00:00', '2009-03-01 07:15:00',
               '2009-03-01 07:30:00', '2009-03-01 07:45:00',
               '2009-03-01 08:00:00', '2009-03-01 08:15:00',
               '2009-03-01 08:30:00', '2009-03-01 08:45:00',
               '2009-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-03-01 00:00:00', '2009-03-01 00:15:00',
               '2009-03-01 00:30:00', '2009-03-01 00:45:00',
               '2009-03-01 01:00:00', '2009-03-01 01:15:00',
               '2009-03-01 01:30:00', '2009-03-01 01:45:00',
               '2009-03-01 02:00:00', '2009-03-01 02:15:00',
               ...
               '2009-03-24 05:30:00', '2009-03-24 05:45:00',
               '2009-03-24 06:00:00', '2009-03-24 06:15:00',
               '2009-03-24 06:30:00', '2009-03-24 06:45:00',
               '2009-03-24 07:00:00', '2009-03-24 07:15:00',
               '2009-03-24 07:30:00', '2009-03-24 07:45:00'],
              dtype='datetime64[ns]', length=2144, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-03-26 07:45:00', '2009-03-26 08:00:00',
               '2009-03-26 08:15:00', '2009-03-26 08:30:00',
               '2009-03-26 08:45:00', '2009-03-26 09:00:00',
               '2009-03-26 09:15:00', '2009-03-26 09:30:00',
               '2009-03-26 09:45:00', '2009-03-26 10:00:00',
               ...
               '2009-03-31 20:45:00', '2009-03-31 21:00:00',
               '2009-03-31 21:15:00', '2009-03-31 21:30:00',
               '2009-03-31 21:45:00', '2009-03-31 22:00:00',
               '2009-03-31 22:15:00', '2009-03-31 22:30:00',
               '2009-03-31 22:45:00', '2009-03-31 23:00:00'],
              dtype='datetime64[ns]', length=542, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.53, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-3-1T00 to 2009-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-03-01 00:00:00', '2009-03-01 00:15:00',
               '2009-03-01 00:30:00', '2009-03-01 00:45:00',
               '2009-03-01 01:00:00', '2009-03-01 01:15:00',
               '2009-03-01 01:30:00', '2009-03-01 01:45:00',
               '2009-03-01 02:00:00', '2009-03-01 02:15:00',
               '2009-03-01 02:30:00', '2009-03-01 02:45:00',
               '2009-03-01 03:00:00', '2009-03-01 03:15:00',
               '2009-03-01 03:30:00', '2009-03-01 03:45:00',
               '2009-03-01 04:00:00', '2009-03-01 04:15:00',
               '2009-03-01 04:30:00', '2009-03-01 04:45:00',
               '2009-03-01 05:00:00', '2009-03-01 05:15:00',
               '2009-03-01 05:30:00', '2009-03-01 05:45:00',
               '2009-03-01 06:00:00', '2009-03-01 06:15:00',
               '2009-03-01 06:30:00', '2009-03-01 06:45:00',
               '2009-03-01 07:00:00', '2009-03-01 07:15:00',
               '2009-03-01 07:30:00', '2009-03-01 07:45:00',
               '2009-03-01 08:00:00', '2009-03-01 08:15:00',
               '2009-03-01 08:30:00', '2009-03-01 08:45:00',
               '2009-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-3-1T00 to 2009-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-15 05:30:00', '2009-04-15 05:45:00',
               '2009-04-15 06:00:00', '2009-04-15 06:15:00',
               '2009-04-15 06:30:00', '2009-04-15 06:45:00',
               '2009-04-15 07:00:00', '2009-04-15 07:15:00',
               '2009-04-15 07:30:00', '2009-04-15 07:45:00'],
              dtype='datetime64[ns]', length=1376, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-04-06 08:00:00', '2009-04-06 08:15:00',
               '2009-04-06 08:30:00', '2009-04-06 08:45:00',
               '2009-04-06 09:00:00', '2009-04-06 09:15:00',
               '2009-04-06 09:30:00', '2009-04-06 09:45:00',
               '2009-04-06 10:00:00', '2009-04-06 10:15:00',
               ...
               '2009-04-15 05:30:00', '2009-04-15 05:45:00',
               '2009-04-15 06:00:00', '2009-04-15 06:15:00',
               '2009-04-15 06:30:00', '2009-04-15 06:45:00',
               '2009-04-15 07:00:00', '2009-04-15 07:15:00',
               '2009-04-15 07:30:00', '2009-04-15 07:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               '2009-04-01 02:30:00', '2009-04-01 02:45:00',
               '2009-04-01 03:00:00', '2009-04-01 03:15:00',
               '2009-04-01 03:30:00', '2009-04-01 03:45:00',
               '2009-04-01 04:00:00', '2009-04-01 04:15:00',
               '2009-04-01 04:30:00', '2009-04-01 04:45:00',
               '2009-04-01 05:00:00', '2009-04-01 05:15:00',
               '2009-04-01 05:30:00', '2009-04-01 05:45:00',
               '2009-04-01 06:00:00', '2009-04-01 06:15:00',
               '2009-04-01 06:30:00', '2009-04-01 06:45:00',
               '2009-04-01 07:00:00', '2009-04-01 07:15:00',
               '2009-04-01 07:30:00', '2009-04-01 07:45:00',
               '2009-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-13 05:30:00', '2009-04-13 05:45:00',
               '2009-04-13 06:00:00', '2009-04-13 06:15:00',
               '2009-04-13 06:30:00', '2009-04-13 06:45:00',
               '2009-04-13 07:00:00', '2009-04-13 07:15:00',
               '2009-04-13 07:30:00', '2009-04-13 07:45:00'],
              dtype='datetime64[ns]', length=1184, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-24 05:30:00', '2009-04-24 05:45:00',
               '2009-04-24 06:00:00', '2009-04-24 06:15:00',
               '2009-04-24 06:30:00', '2009-04-24 06:45:00',
               '2009-04-24 07:00:00', '2009-04-24 07:15:00',
               '2009-04-24 07:30:00', '2009-04-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               '2009-04-01 02:30:00', '2009-04-01 02:45:00',
               '2009-04-01 03:00:00', '2009-04-01 03:15:00',
               '2009-04-01 03:30:00', '2009-04-01 03:45:00',
               '2009-04-01 04:00:00', '2009-04-01 04:15:00',
               '2009-04-01 04:30:00', '2009-04-01 04:45:00',
               '2009-04-01 05:00:00', '2009-04-01 05:15:00',
               '2009-04-01 05:30:00', '2009-04-01 05:45:00',
               '2009-04-01 06:00:00', '2009-04-01 06:15:00',
               '2009-04-01 06:30:00', '2009-04-01 06:45:00',
               '2009-04-01 07:00:00', '2009-04-01 07:15:00',
               '2009-04-01 07:30:00', '2009-04-01 07:45:00',
               '2009-04-01 08:00:00', '2009-04-17 14:45:00',
               '2009-04-17 15:00:00', '2009-04-17 15:15:00',
               '2009-04-17 15:30:00', '2009-04-17 15:45:00',
               '2009-04-17 16:00:00', '2009-04-17 16:15:00',
               '2009-04-17 16:30:00', '2009-04-17 16:45:00',
               '2009-04-17 17:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-12 05:45:00', '2009-04-12 06:00:00',
               '2009-04-12 06:15:00', '2009-04-12 06:30:00',
               '2009-04-12 06:45:00', '2009-04-12 07:00:00',
               '2009-04-12 07:15:00', '2009-04-12 07:30:00',
               '2009-04-12 07:45:00', '2009-04-12 08:00:00'],
              dtype='datetime64[ns]', length=613, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-04 05:45:00', '2009-04-04 06:00:00',
               '2009-04-04 06:15:00', '2009-04-04 06:30:00',
               '2009-04-04 06:45:00', '2009-04-04 07:00:00',
               '2009-04-04 07:15:00', '2009-04-04 07:30:00',
               '2009-04-04 07:45:00', '2009-04-04 08:00:00'],
              dtype='datetime64[ns]', length=321, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-25 05:30:00', '2009-04-25 05:45:00',
               '2009-04-25 06:00:00', '2009-04-25 06:15:00',
               '2009-04-25 06:30:00', '2009-04-25 06:45:00',
               '2009-04-25 07:00:00', '2009-04-25 07:15:00',
               '2009-04-25 07:30:00', '2009-04-25 07:45:00'],
              dtype='datetime64[ns]', length=2336, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-16 05:30:00', '2009-04-16 05:45:00',
               '2009-04-16 06:00:00', '2009-04-16 06:15:00',
               '2009-04-16 06:30:00', '2009-04-16 06:45:00',
               '2009-04-16 07:00:00', '2009-04-16 07:15:00',
               '2009-04-16 07:30:00', '2009-04-16 07:45:00'],
              dtype='datetime64[ns]', length=1472, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-4-1T00 to 2009-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-24 05:30:00', '2009-04-24 05:45:00',
               '2009-04-24 06:00:00', '2009-04-24 06:15:00',
               '2009-04-24 06:30:00', '2009-04-24 06:45:00',
               '2009-04-24 07:00:00', '2009-04-24 07:15:00',
               '2009-04-24 07:30:00', '2009-04-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-04-01 00:00:00', '2009-04-01 00:15:00',
               '2009-04-01 00:30:00', '2009-04-01 00:45:00',
               '2009-04-01 01:00:00', '2009-04-01 01:15:00',
               '2009-04-01 01:30:00', '2009-04-01 01:45:00',
               '2009-04-01 02:00:00', '2009-04-01 02:15:00',
               ...
               '2009-04-18 05:45:00', '2009-04-18 06:00:00',
               '2009-04-18 06:15:00', '2009-04-18 06:30:00',
               '2009-04-18 06:45:00', '2009-04-18 07:00:00',
               '2009-04-18 07:15:00', '2009-04-18 07:30:00',
               '2009-04-18 07:45:00', '2009-04-18 08:00:00'],
              dtype='datetime64[ns]', length=456, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-4-1T00 to 2009-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00', '2009-05-06 03:30:00',
               '2009-05-06 03:45:00', '2009-05-06 04:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               ...
               '2009-05-27 05:45:00', '2009-05-27 06:00:00',
               '2009-05-27 06:15:00', '2009-05-27 06:30:00',
               '2009-05-27 06:45:00', '2009-05-27 07:00:00',
               '2009-05-27 07:15:00', '2009-05-27 07:30:00',
               '2009-05-27 07:45:00', '2009-05-27 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               ...
               '2009-05-05 05:45:00', '2009-05-05 06:00:00',
               '2009-05-05 06:15:00', '2009-05-05 06:30:00',
               '2009-05-05 06:45:00', '2009-05-05 07:00:00',
               '2009-05-05 07:15:00', '2009-05-05 07:30:00',
               '2009-05-05 07:45:00', '2009-05-05 08:00:00'],
              dtype='datetime64[ns]', length=417, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-5-1T00 to 2009-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-05-01 00:00:00', '2009-05-01 00:15:00',
               '2009-05-01 00:30:00', '2009-05-01 00:45:00',
               '2009-05-01 01:00:00', '2009-05-01 01:15:00',
               '2009-05-01 01:30:00', '2009-05-01 01:45:00',
               '2009-05-01 02:00:00', '2009-05-01 02:15:00',
               '2009-05-01 02:30:00', '2009-05-01 02:45:00',
               '2009-05-01 03:00:00', '2009-05-01 03:15:00',
               '2009-05-01 03:30:00', '2009-05-01 03:45:00',
               '2009-05-01 04:00:00', '2009-05-01 04:15:00',
               '2009-05-01 04:30:00', '2009-05-01 04:45:00',
               '2009-05-01 05:00:00', '2009-05-01 05:15:00',
               '2009-05-01 05:30:00', '2009-05-01 05:45:00',
               '2009-05-01 06:00:00', '2009-05-01 06:15:00',
               '2009-05-01 06:30:00', '2009-05-01 06:45:00',
               '2009-05-01 07:00:00', '2009-05-01 07:15:00',
               '2009-05-01 07:30:00', '2009-05-01 07:45:00',
               '2009-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-5-1T00 to 2009-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00', '2009-06-16 02:15:00',
               '2009-06-16 02:30:00', '2009-06-16 02:45:00',
               '2009-06-16 03:00:00', '2009-06-16 06:15:00',
               '2009-06-16 06:30:00', '2009-06-16 06:45:00',
               '2009-06-16 07:00:00', '2009-06-16 10:15:00',
               '2009-06-16 10:30:00', '2009-06-16 10:45:00',
               '2009-06-16 11:00:00', '2009-06-16 14:15:00',
               '2009-06-16 14:30:00', '2009-06-16 14:45:00',
               '2009-06-16 15:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               ...
               '2009-06-26 05:45:00', '2009-06-26 06:00:00',
               '2009-06-26 06:15:00', '2009-06-26 06:30:00',
               '2009-06-26 06:45:00', '2009-06-26 07:00:00',
               '2009-06-26 07:15:00', '2009-06-26 07:30:00',
               '2009-06-26 07:45:00', '2009-06-26 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               ...
               '2009-06-19 05:45:00', '2009-06-19 06:00:00',
               '2009-06-19 06:15:00', '2009-06-19 06:30:00',
               '2009-06-19 06:45:00', '2009-06-19 07:00:00',
               '2009-06-19 07:15:00', '2009-06-19 07:30:00',
               '2009-06-19 07:45:00', '2009-06-19 08:00:00'],
              dtype='datetime64[ns]', length=230, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-6-1T00 to 2009-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-06-01 00:00:00', '2009-06-01 00:15:00',
               '2009-06-01 00:30:00', '2009-06-01 00:45:00',
               '2009-06-01 01:00:00', '2009-06-01 01:15:00',
               '2009-06-01 01:30:00', '2009-06-01 01:45:00',
               '2009-06-01 02:00:00', '2009-06-01 02:15:00',
               '2009-06-01 02:30:00', '2009-06-01 02:45:00',
               '2009-06-01 03:00:00', '2009-06-01 03:15:00',
               '2009-06-01 03:30:00', '2009-06-01 03:45:00',
               '2009-06-01 04:00:00', '2009-06-01 04:15:00',
               '2009-06-01 04:30:00', '2009-06-01 04:45:00',
               '2009-06-01 05:00:00', '2009-06-01 05:15:00',
               '2009-06-01 05:30:00', '2009-06-01 05:45:00',
               '2009-06-01 06:00:00', '2009-06-01 06:15:00',
               '2009-06-01 06:30:00', '2009-06-01 06:45:00',
               '2009-06-01 07:00:00', '2009-06-01 07:15:00',
               '2009-06-01 07:30:00', '2009-06-01 07:45:00',
               '2009-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-6-1T00 to 2009-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               ...
               '2009-07-25 05:45:00', '2009-07-25 06:00:00',
               '2009-07-25 06:15:00', '2009-07-25 06:30:00',
               '2009-07-25 06:45:00', '2009-07-25 07:00:00',
               '2009-07-25 07:15:00', '2009-07-25 07:30:00',
               '2009-07-25 07:45:00', '2009-07-25 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-7-1T00 to 2009-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-07-01 00:00:00', '2009-07-01 00:15:00',
               '2009-07-01 00:30:00', '2009-07-01 00:45:00',
               '2009-07-01 01:00:00', '2009-07-01 01:15:00',
               '2009-07-01 01:30:00', '2009-07-01 01:45:00',
               '2009-07-01 02:00:00', '2009-07-01 02:15:00',
               '2009-07-01 02:30:00', '2009-07-01 02:45:00',
               '2009-07-01 03:00:00', '2009-07-01 03:15:00',
               '2009-07-01 03:30:00', '2009-07-01 03:45:00',
               '2009-07-01 04:00:00', '2009-07-01 04:15:00',
               '2009-07-01 04:30:00', '2009-07-01 04:45:00',
               '2009-07-01 05:00:00', '2009-07-01 05:15:00',
               '2009-07-01 05:30:00', '2009-07-01 05:45:00',
               '2009-07-01 06:00:00', '2009-07-01 06:15:00',
               '2009-07-01 06:30:00', '2009-07-01 06:45:00',
               '2009-07-01 07:00:00', '2009-07-01 07:15:00',
               '2009-07-01 07:30:00', '2009-07-01 07:45:00',
               '2009-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-7-1T00 to 2009-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00', '2009-08-20 23:15:00',
               '2009-08-20 23:30:00', '2009-08-20 23:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               ...
               '2009-08-25 05:45:00', '2009-08-25 06:00:00',
               '2009-08-25 06:15:00', '2009-08-25 06:30:00',
               '2009-08-25 06:45:00', '2009-08-25 07:00:00',
               '2009-08-25 07:15:00', '2009-08-25 07:30:00',
               '2009-08-25 07:45:00', '2009-08-25 08:00:00'],
              dtype='datetime64[ns]', length=522, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00', '2009-08-14 19:30:00',
               '2009-08-14 19:45:00', '2009-08-14 20:00:00',
               '2009-08-14 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-8-1T00 to 2009-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-08-01 00:00:00', '2009-08-01 00:15:00',
               '2009-08-01 00:30:00', '2009-08-01 00:45:00',
               '2009-08-01 01:00:00', '2009-08-01 01:15:00',
               '2009-08-01 01:30:00', '2009-08-01 01:45:00',
               '2009-08-01 02:00:00', '2009-08-01 02:15:00',
               '2009-08-01 02:30:00', '2009-08-01 02:45:00',
               '2009-08-01 03:00:00', '2009-08-01 03:15:00',
               '2009-08-01 03:30:00', '2009-08-01 03:45:00',
               '2009-08-01 04:00:00', '2009-08-01 04:15:00',
               '2009-08-01 04:30:00', '2009-08-01 04:45:00',
               '2009-08-01 05:00:00', '2009-08-01 05:15:00',
               '2009-08-01 05:30:00', '2009-08-01 05:45:00',
               '2009-08-01 06:00:00', '2009-08-01 06:15:00',
               '2009-08-01 06:30:00', '2009-08-01 06:45:00',
               '2009-08-01 07:00:00', '2009-08-01 07:15:00',
               '2009-08-01 07:30:00', '2009-08-01 07:45:00',
               '2009-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-8-1T00 to 2009-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               ...
               '2009-09-22 05:45:00', '2009-09-22 06:00:00',
               '2009-09-22 06:15:00', '2009-09-22 06:30:00',
               '2009-09-22 06:45:00', '2009-09-22 07:00:00',
               '2009-09-22 07:15:00', '2009-09-22 07:30:00',
               '2009-09-22 07:45:00', '2009-09-22 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00', '2009-09-06 15:45:00',
               '2009-09-06 16:00:00', '2009-09-06 16:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-9-1T00 to 2009-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-09-01 00:00:00', '2009-09-01 00:15:00',
               '2009-09-01 00:30:00', '2009-09-01 00:45:00',
               '2009-09-01 01:00:00', '2009-09-01 01:15:00',
               '2009-09-01 01:30:00', '2009-09-01 01:45:00',
               '2009-09-01 02:00:00', '2009-09-01 02:15:00',
               '2009-09-01 02:30:00', '2009-09-01 02:45:00',
               '2009-09-01 03:00:00', '2009-09-01 03:15:00',
               '2009-09-01 03:30:00', '2009-09-01 03:45:00',
               '2009-09-01 04:00:00', '2009-09-01 04:15:00',
               '2009-09-01 04:30:00', '2009-09-01 04:45:00',
               '2009-09-01 05:00:00', '2009-09-01 05:15:00',
               '2009-09-01 05:30:00', '2009-09-01 05:45:00',
               '2009-09-01 06:00:00', '2009-09-01 06:15:00',
               '2009-09-01 06:30:00', '2009-09-01 06:45:00',
               '2009-09-01 07:00:00', '2009-09-01 07:15:00',
               '2009-09-01 07:30:00', '2009-09-01 07:45:00',
               '2009-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-9-1T00 to 2009-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-31 20:45:00', '2009-10-31 21:00:00',
               '2009-10-31 21:15:00', '2009-10-31 21:30:00',
               '2009-10-31 21:45:00', '2009-10-31 22:00:00',
               '2009-10-31 22:15:00', '2009-10-31 22:30:00',
               '2009-10-31 22:45:00', '2009-10-31 23:00:00'],
              dtype='datetime64[ns]', length=287, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-31 20:45:00', '2009-10-31 21:00:00',
               '2009-10-31 21:15:00', '2009-10-31 21:30:00',
               '2009-10-31 21:45:00', '2009-10-31 22:00:00',
               '2009-10-31 22:15:00', '2009-10-31 22:30:00',
               '2009-10-31 22:45:00', '2009-10-31 23:00:00'],
              dtype='datetime64[ns]', length=287, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               '2009-10-01 02:30:00', '2009-10-01 02:45:00',
               '2009-10-01 03:00:00', '2009-10-01 03:15:00',
               '2009-10-01 03:30:00', '2009-10-01 03:45:00',
               '2009-10-01 04:00:00', '2009-10-01 04:15:00',
               '2009-10-01 04:30:00', '2009-10-01 04:45:00',
               '2009-10-01 05:00:00', '2009-10-01 05:15:00',
               '2009-10-01 05:30:00', '2009-10-01 05:45:00',
               '2009-10-01 06:00:00', '2009-10-01 06:15:00',
               '2009-10-01 06:30:00', '2009-10-01 06:45:00',
               '2009-10-01 07:00:00', '2009-10-01 07:15:00',
               '2009-10-01 07:30:00', '2009-10-01 07:45:00',
               '2009-10-01 08:00:00', '2009-10-12 20:00:00',
               '2009-10-12 20:15:00', '2009-10-12 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-31 20:45:00', '2009-10-31 21:00:00',
               '2009-10-31 21:15:00', '2009-10-31 21:30:00',
               '2009-10-31 21:45:00', '2009-10-31 22:00:00',
               '2009-10-31 22:15:00', '2009-10-31 22:30:00',
               '2009-10-31 22:45:00', '2009-10-31 23:00:00'],
              dtype='datetime64[ns]', length=391, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               '2009-10-01 02:30:00', '2009-10-01 02:45:00',
               '2009-10-01 03:00:00', '2009-10-01 03:15:00',
               '2009-10-01 03:30:00', '2009-10-01 03:45:00',
               '2009-10-01 04:00:00', '2009-10-01 04:15:00',
               '2009-10-01 04:30:00', '2009-10-01 04:45:00',
               '2009-10-01 05:00:00', '2009-10-01 05:15:00',
               '2009-10-01 05:30:00', '2009-10-01 05:45:00',
               '2009-10-01 06:00:00', '2009-10-01 06:15:00',
               '2009-10-01 06:30:00', '2009-10-01 06:45:00',
               '2009-10-01 07:00:00', '2009-10-01 07:15:00',
               '2009-10-01 07:30:00', '2009-10-01 07:45:00',
               '2009-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-22 05:45:00', '2009-10-22 06:00:00',
               '2009-10-22 06:15:00', '2009-10-22 06:30:00',
               '2009-10-22 06:45:00', '2009-10-22 07:00:00',
               '2009-10-22 07:15:00', '2009-10-22 07:30:00',
               '2009-10-22 07:45:00', '2009-10-22 08:00:00'],
              dtype='datetime64[ns]', length=611, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               '2009-10-01 02:30:00', '2009-10-01 02:45:00',
               '2009-10-01 03:00:00', '2009-10-01 03:15:00',
               '2009-10-01 03:30:00', '2009-10-01 03:45:00',
               '2009-10-01 04:00:00', '2009-10-01 04:15:00',
               '2009-10-01 04:30:00', '2009-10-01 04:45:00',
               '2009-10-01 05:00:00', '2009-10-01 05:15:00',
               '2009-10-01 05:30:00', '2009-10-01 05:45:00',
               '2009-10-01 06:00:00', '2009-10-01 06:15:00',
               '2009-10-01 06:30:00', '2009-10-01 06:45:00',
               '2009-10-01 07:00:00', '2009-10-01 07:15:00',
               '2009-10-01 07:30:00', '2009-10-01 07:45:00',
               '2009-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               '2009-10-01 02:30:00', '2009-10-01 02:45:00',
               '2009-10-01 03:00:00', '2009-10-01 03:15:00',
               '2009-10-01 03:30:00', '2009-10-01 03:45:00',
               '2009-10-01 04:00:00', '2009-10-01 04:15:00',
               '2009-10-01 04:30:00', '2009-10-01 04:45:00',
               '2009-10-01 05:00:00', '2009-10-01 05:15:00',
               '2009-10-01 05:30:00', '2009-10-01 05:45:00',
               '2009-10-01 06:00:00', '2009-10-01 06:15:00',
               '2009-10-01 06:30:00', '2009-10-01 06:45:00',
               '2009-10-01 07:00:00', '2009-10-01 07:15:00',
               '2009-10-01 07:30:00', '2009-10-01 07:45:00',
               '2009-10-01 08:00:00', '2009-10-05 23:45:00',
               '2009-10-06 00:00:00', '2009-10-06 00:15:00',
               '2009-10-06 00:30:00', '2009-10-06 00:45:00',
               '2009-10-06 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-07 05:45:00', '2009-10-07 06:00:00',
               '2009-10-07 06:15:00', '2009-10-07 06:30:00',
               '2009-10-07 06:45:00', '2009-10-07 07:00:00',
               '2009-10-07 07:15:00', '2009-10-07 07:30:00',
               '2009-10-07 07:45:00', '2009-10-07 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-31 20:45:00', '2009-10-31 21:00:00',
               '2009-10-31 21:15:00', '2009-10-31 21:30:00',
               '2009-10-31 21:45:00', '2009-10-31 22:00:00',
               '2009-10-31 22:15:00', '2009-10-31 22:30:00',
               '2009-10-31 22:45:00', '2009-10-31 23:00:00'],
              dtype='datetime64[ns]', length=383, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-10-1T00 to 2009-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-31 20:45:00', '2009-10-31 21:00:00',
               '2009-10-31 21:15:00', '2009-10-31 21:30:00',
               '2009-10-31 21:45:00', '2009-10-31 22:00:00',
               '2009-10-31 22:15:00', '2009-10-31 22:30:00',
               '2009-10-31 22:45:00', '2009-10-31 23:00:00'],
              dtype='datetime64[ns]', length=287, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-10-01 00:00:00', '2009-10-01 00:15:00',
               '2009-10-01 00:30:00', '2009-10-01 00:45:00',
               '2009-10-01 01:00:00', '2009-10-01 01:15:00',
               '2009-10-01 01:30:00', '2009-10-01 01:45:00',
               '2009-10-01 02:00:00', '2009-10-01 02:15:00',
               ...
               '2009-10-18 05:45:00', '2009-10-18 06:00:00',
               '2009-10-18 06:15:00', '2009-10-18 06:30:00',
               '2009-10-18 06:45:00', '2009-10-18 07:00:00',
               '2009-10-18 07:15:00', '2009-10-18 07:30:00',
               '2009-10-18 07:45:00', '2009-10-18 08:00:00'],
              dtype='datetime64[ns]', length=616, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-10-1T00 to 2009-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 10.91, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-24 20:30:00', '2009-11-24 20:45:00',
               '2009-11-24 21:00:00', '2009-11-24 21:15:00',
               '2009-11-24 21:30:00', '2009-11-24 21:45:00',
               '2009-11-24 22:00:00', '2009-11-24 22:15:00',
               '2009-11-24 22:30:00', '2009-11-24 22:45:00',
               ...
               '2009-11-30 20:45:00', '2009-11-30 21:00:00',
               '2009-11-30 21:15:00', '2009-11-30 21:30:00',
               '2009-11-30 21:45:00', '2009-11-30 22:00:00',
               '2009-11-30 22:15:00', '2009-11-30 22:30:00',
               '2009-11-30 22:45:00', '2009-11-30 23:00:00'],
              dtype='datetime64[ns]', length=587, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-11-10 09:00:00', '2009-11-10 09:15:00',
               '2009-11-10 09:30:00', '2009-11-10 09:45:00',
               '2009-11-10 10:00:00', '2009-11-10 10:15:00',
               '2009-11-10 10:30:00', '2009-11-10 10:45:00',
               '2009-11-10 11:00:00', '2009-11-10 11:15:00',
               ...
               '2009-11-30 20:45:00', '2009-11-30 21:00:00',
               '2009-11-30 21:15:00', '2009-11-30 21:30:00',
               '2009-11-30 21:45:00', '2009-11-30 22:00:00',
               '2009-11-30 22:15:00', '2009-11-30 22:30:00',
               '2009-11-30 22:45:00', '2009-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-01 00:00:00', '2009-11-01 00:15:00',
               '2009-11-01 00:30:00', '2009-11-01 00:45:00',
               '2009-11-01 01:00:00', '2009-11-01 01:15:00',
               '2009-11-01 01:30:00', '2009-11-01 01:45:00',
               '2009-11-01 02:00:00', '2009-11-01 02:15:00',
               '2009-11-01 02:30:00', '2009-11-01 02:45:00',
               '2009-11-01 03:00:00', '2009-11-01 03:15:00',
               '2009-11-01 03:30:00', '2009-11-01 03:45:00',
               '2009-11-01 04:00:00', '2009-11-01 04:15:00',
               '2009-11-01 04:30:00', '2009-11-01 04:45:00',
               '2009-11-01 05:00:00', '2009-11-01 05:15:00',
               '2009-11-01 05:30:00', '2009-11-01 05:45:00',
               '2009-11-01 06:00:00', '2009-11-01 06:15:00',
               '2009-11-01 06:30:00', '2009-11-01 06:45:00',
               '2009-11-01 07:00:00', '2009-11-01 07:15:00',
               '2009-11-01 07:30:00', '2009-11-01 07:45:00',
               '2009-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-01 00:00:00', '2009-11-01 00:15:00',
               '2009-11-01 00:30:00', '2009-11-01 00:45:00',
               '2009-11-01 01:00:00', '2009-11-01 01:15:00',
               '2009-11-01 01:30:00', '2009-11-01 01:45:00',
               '2009-11-01 02:00:00', '2009-11-01 02:15:00',
               ...
               '2009-11-30 20:45:00', '2009-11-30 21:00:00',
               '2009-11-30 21:15:00', '2009-11-30 21:30:00',
               '2009-11-30 21:45:00', '2009-11-30 22:00:00',
               '2009-11-30 22:15:00', '2009-11-30 22:30:00',
               '2009-11-30 22:45:00', '2009-11-30 23:00:00'],
              dtype='datetime64[ns]', length=285, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-11-12 09:00:00', '2009-11-12 09:15:00',
               '2009-11-12 09:30:00', '2009-11-12 09:45:00',
               '2009-11-12 10:00:00', '2009-11-12 10:15:00',
               '2009-11-12 10:30:00', '2009-11-12 10:45:00',
               '2009-11-12 11:00:00', '2009-11-12 11:15:00',
               ...
               '2009-11-23 06:30:00', '2009-11-23 06:45:00',
               '2009-11-23 07:00:00', '2009-11-23 07:15:00',
               '2009-11-23 07:30:00', '2009-11-23 07:45:00',
               '2009-11-23 08:00:00', '2009-11-23 08:15:00',
               '2009-11-23 08:30:00', '2009-11-23 08:45:00'],
              dtype='datetime64[ns]', length=1056, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-01 00:00:00', '2009-11-01 00:15:00',
               '2009-11-01 00:30:00', '2009-11-01 00:45:00',
               '2009-11-01 01:00:00', '2009-11-01 01:15:00',
               '2009-11-01 01:30:00', '2009-11-01 01:45:00',
               '2009-11-01 02:00:00', '2009-11-01 02:15:00',
               ...
               '2009-11-30 20:45:00', '2009-11-30 21:00:00',
               '2009-11-30 21:15:00', '2009-11-30 21:30:00',
               '2009-11-30 21:45:00', '2009-11-30 22:00:00',
               '2009-11-30 22:15:00', '2009-11-30 22:30:00',
               '2009-11-30 22:45:00', '2009-11-30 23:00:00'],
              dtype='datetime64[ns]', length=573, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.69, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-11-03 09:00:00', '2009-11-03 09:15:00',
               '2009-11-03 09:30:00', '2009-11-03 09:45:00',
               '2009-11-03 10:00:00', '2009-11-03 10:15:00',
               '2009-11-03 10:30:00', '2009-11-03 10:45:00',
               '2009-11-03 11:00:00', '2009-11-03 11:15:00',
               ...
               '2009-11-30 20:45:00', '2009-11-30 21:00:00',
               '2009-11-30 21:15:00', '2009-11-30 21:30:00',
               '2009-11-30 21:45:00', '2009-11-30 22:00:00',
               '2009-11-30 22:15:00', '2009-11-30 22:30:00',
               '2009-11-30 22:45:00', '2009-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2649, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-01 00:00:00', '2009-11-01 00:15:00',
               '2009-11-01 00:30:00', '2009-11-01 00:45:00',
               '2009-11-01 01:00:00', '2009-11-01 01:15:00',
               '2009-11-01 01:30:00', '2009-11-01 01:45:00',
               '2009-11-01 02:00:00', '2009-11-01 02:15:00',
               '2009-11-01 02:30:00', '2009-11-01 02:45:00',
               '2009-11-01 03:00:00', '2009-11-01 03:15:00',
               '2009-11-01 03:30:00', '2009-11-01 03:45:00',
               '2009-11-01 04:00:00', '2009-11-01 04:15:00',
               '2009-11-01 04:30:00', '2009-11-01 04:45:00',
               '2009-11-01 05:00:00', '2009-11-01 05:15:00',
               '2009-11-01 05:30:00', '2009-11-01 05:45:00',
               '2009-11-01 06:00:00', '2009-11-01 06:15:00',
               '2009-11-01 06:30:00', '2009-11-01 06:45:00',
               '2009-11-01 07:00:00', '2009-11-01 07:15:00',
               '2009-11-01 07:30:00', '2009-11-01 07:45:00',
               '2009-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-11-15 09:00:00', '2009-11-15 09:15:00',
               '2009-11-15 09:30:00', '2009-11-15 09:45:00',
               '2009-11-15 10:00:00', '2009-11-15 10:15:00',
               '2009-11-15 10:30:00', '2009-11-15 10:45:00',
               '2009-11-15 11:00:00', '2009-11-15 11:15:00',
               ...
               '2009-11-24 06:30:00', '2009-11-24 06:45:00',
               '2009-11-24 07:00:00', '2009-11-24 07:15:00',
               '2009-11-24 07:30:00', '2009-11-24 07:45:00',
               '2009-11-24 08:00:00', '2009-11-24 08:15:00',
               '2009-11-24 08:30:00', '2009-11-24 08:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-01 00:00:00', '2009-11-01 00:15:00',
               '2009-11-01 00:30:00', '2009-11-01 00:45:00',
               '2009-11-01 01:00:00', '2009-11-01 01:15:00',
               '2009-11-01 01:30:00', '2009-11-01 01:45:00',
               '2009-11-01 02:00:00', '2009-11-01 02:15:00',
               '2009-11-01 02:30:00', '2009-11-01 02:45:00',
               '2009-11-01 03:00:00', '2009-11-01 03:15:00',
               '2009-11-01 03:30:00', '2009-11-01 03:45:00',
               '2009-11-01 04:00:00', '2009-11-01 04:15:00',
               '2009-11-01 04:30:00', '2009-11-01 04:45:00',
               '2009-11-01 05:00:00', '2009-11-01 05:15:00',
               '2009-11-01 05:30:00', '2009-11-01 05:45:00',
               '2009-11-01 06:00:00', '2009-11-01 06:15:00',
               '2009-11-01 06:30:00', '2009-11-01 06:45:00',
               '2009-11-01 07:00:00', '2009-11-01 07:15:00',
               '2009-11-01 07:30:00', '2009-11-01 07:45:00',
               '2009-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-11-03 09:00:00', '2009-11-03 09:15:00',
               '2009-11-03 09:30:00', '2009-11-03 09:45:00',
               '2009-11-03 10:00:00', '2009-11-03 10:15:00',
               '2009-11-03 10:30:00', '2009-11-03 10:45:00',
               '2009-11-03 11:00:00', '2009-11-03 11:15:00',
               ...
               '2009-11-30 20:45:00', '2009-11-30 21:00:00',
               '2009-11-30 21:15:00', '2009-11-30 21:30:00',
               '2009-11-30 21:45:00', '2009-11-30 22:00:00',
               '2009-11-30 22:15:00', '2009-11-30 22:30:00',
               '2009-11-30 22:45:00', '2009-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2649, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-01 00:00:00', '2009-11-01 00:15:00',
               '2009-11-01 00:30:00', '2009-11-01 00:45:00',
               '2009-11-01 01:00:00', '2009-11-01 01:15:00',
               '2009-11-01 01:30:00', '2009-11-01 01:45:00',
               '2009-11-01 02:00:00', '2009-11-01 02:15:00',
               '2009-11-01 02:30:00', '2009-11-01 02:45:00',
               '2009-11-01 03:00:00', '2009-11-01 03:15:00',
               '2009-11-01 03:30:00', '2009-11-01 03:45:00',
               '2009-11-01 04:00:00', '2009-11-01 04:15:00',
               '2009-11-01 04:30:00', '2009-11-01 04:45:00',
               '2009-11-01 05:00:00', '2009-11-01 05:15:00',
               '2009-11-01 05:30:00', '2009-11-01 05:45:00',
               '2009-11-01 06:00:00', '2009-11-01 06:15:00',
               '2009-11-01 06:30:00', '2009-11-01 06:45:00',
               '2009-11-01 07:00:00', '2009-11-01 07:15:00',
               '2009-11-01 07:30:00', '2009-11-01 07:45:00',
               '2009-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-11-1T00 to 2009-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-11-01 00:00:00', '2009-11-01 00:15:00',
               '2009-11-01 00:30:00', '2009-11-01 00:45:00',
               '2009-11-01 01:00:00', '2009-11-01 01:15:00',
               '2009-11-01 01:30:00', '2009-11-01 01:45:00',
               '2009-11-01 02:00:00', '2009-11-01 02:15:00',
               '2009-11-01 02:30:00', '2009-11-01 02:45:00',
               '2009-11-01 03:00:00', '2009-11-01 03:15:00',
               '2009-11-01 03:30:00', '2009-11-01 03:45:00',
               '2009-11-01 04:00:00', '2009-11-01 04:15:00',
               '2009-11-01 04:30:00', '2009-11-01 04:45:00',
               '2009-11-01 05:00:00', '2009-11-01 05:15:00',
               '2009-11-01 05:30:00', '2009-11-01 05:45:00',
               '2009-11-01 06:00:00', '2009-11-01 06:15:00',
               '2009-11-01 06:30:00', '2009-11-01 06:45:00',
               '2009-11-01 07:00:00', '2009-11-01 07:15:00',
               '2009-11-01 07:30:00', '2009-11-01 07:45:00',
               '2009-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-11-1T00 to 2009-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 10.34, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-12-01 00:00:00', '2009-12-01 00:15:00',
               '2009-12-01 00:30:00', '2009-12-01 00:45:00',
               '2009-12-01 01:00:00', '2009-12-01 01:15:00',
               '2009-12-01 01:30:00', '2009-12-01 01:45:00',
               '2009-12-01 02:00:00', '2009-12-01 02:15:00',
               ...
               '2009-12-21 06:45:00', '2009-12-21 07:00:00',
               '2009-12-21 07:15:00', '2009-12-21 07:30:00',
               '2009-12-21 07:45:00', '2009-12-21 08:00:00',
               '2009-12-21 08:15:00', '2009-12-21 08:30:00',
               '2009-12-21 08:45:00', '2009-12-21 09:00:00'],
              dtype='datetime64[ns]', length=620, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-12-01 00:00:00', '2009-12-01 00:15:00',
               '2009-12-01 00:30:00', '2009-12-01 00:45:00',
               '2009-12-01 01:00:00', '2009-12-01 01:15:00',
               '2009-12-01 01:30:00', '2009-12-01 01:45:00',
               '2009-12-01 02:00:00', '2009-12-01 02:15:00',
               '2009-12-01 02:30:00', '2009-12-01 02:45:00',
               '2009-12-01 03:00:00', '2009-12-01 03:15:00',
               '2009-12-01 03:30:00', '2009-12-01 03:45:00',
               '2009-12-01 04:00:00', '2009-12-01 04:15:00',
               '2009-12-01 04:30:00', '2009-12-01 04:45:00',
               '2009-12-01 05:00:00', '2009-12-01 05:15:00',
               '2009-12-01 05:30:00', '2009-12-01 05:45:00',
               '2009-12-01 06:00:00', '2009-12-01 06:15:00',
               '2009-12-01 06:30:00', '2009-12-01 06:45:00',
               '2009-12-01 07:00:00', '2009-12-01 07:15:00',
               '2009-12-01 07:30:00', '2009-12-01 07:45:00',
               '2009-12-01 08:00:00', '2009-12-01 08:15:00',
               '2009-12-01 08:30:00', '2009-12-01 08:45:00',
               '2009-12-01 09:00:00', '2009-12-01 09:15:00',
               '2009-12-01 09:30:00', '2009-12-01 09:45:00',
               '2009-12-01 10:00:00', '2009-12-01 10:15:00',
               '2009-12-01 10:30:00', '2009-12-01 10:45:00',
               '2009-12-01 11:00:00', '2009-12-01 11:15:00',
               '2009-12-01 11:30:00', '2009-12-01 11:45:00',
               '2009-12-01 12:00:00', '2009-12-01 12:15:00',
               '2009-12-01 12:30:00', '2009-12-01 12:45:00',
               '2009-12-01 13:00:00', '2009-12-01 13:15:00',
               '2009-12-01 13:30:00', '2009-12-01 13:45:00',
               '2009-12-01 14:00:00', '2009-12-01 14:15:00',
               '2009-12-01 14:30:00', '2009-12-01 14:45:00',
               '2009-12-01 15:00:00', '2009-12-01 15:15:00',
               '2009-12-01 15:30:00', '2009-12-01 15:45:00',
               '2009-12-01 16:00:00', '2009-12-01 16:15:00',
               '2009-12-01 16:30:00', '2009-12-01 16:45:00',
               '2009-12-01 17:00:00', '2009-12-01 17:15:00',
               '2009-12-01 17:30:00', '2009-12-01 17:45:00',
               '2009-12-01 18:00:00', '2009-12-01 18:15:00',
               '2009-12-01 18:30:00', '2009-12-01 18:45:00',
               '2009-12-01 19:00:00', '2009-12-01 19:15:00',
               '2009-12-01 19:30:00', '2009-12-01 19:45:00',
               '2009-12-01 20:00:00', '2009-12-01 20:15:00',
               '2009-12-01 20:30:00', '2009-12-01 20:45:00',
               '2009-12-01 21:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-12-01 00:00:00', '2009-12-01 00:15:00',
               '2009-12-01 00:30:00', '2009-12-01 00:45:00',
               '2009-12-01 01:00:00', '2009-12-01 01:15:00',
               '2009-12-01 01:30:00', '2009-12-01 01:45:00',
               '2009-12-01 02:00:00', '2009-12-01 02:15:00',
               ...
               '2009-12-20 06:45:00', '2009-12-20 07:00:00',
               '2009-12-20 07:15:00', '2009-12-20 07:30:00',
               '2009-12-20 07:45:00', '2009-12-20 08:00:00',
               '2009-12-20 08:15:00', '2009-12-20 08:30:00',
               '2009-12-20 08:45:00', '2009-12-20 09:00:00'],
              dtype='datetime64[ns]', length=521, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-12-11 09:00:00', '2009-12-11 09:15:00',
               '2009-12-11 09:30:00', '2009-12-11 09:45:00',
               '2009-12-11 10:00:00', '2009-12-11 10:15:00',
               '2009-12-11 10:30:00', '2009-12-11 10:45:00',
               '2009-12-11 11:00:00', '2009-12-11 11:15:00',
               ...
               '2009-12-29 06:30:00', '2009-12-29 06:45:00',
               '2009-12-29 07:00:00', '2009-12-29 07:15:00',
               '2009-12-29 07:30:00', '2009-12-29 07:45:00',
               '2009-12-29 08:00:00', '2009-12-29 08:15:00',
               '2009-12-29 08:30:00', '2009-12-29 08:45:00'],
              dtype='datetime64[ns]', length=1728, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-12-01 00:00:00', '2009-12-01 00:15:00',
               '2009-12-01 00:30:00', '2009-12-01 00:45:00',
               '2009-12-01 01:00:00', '2009-12-01 01:15:00',
               '2009-12-01 01:30:00', '2009-12-01 01:45:00',
               '2009-12-01 02:00:00', '2009-12-01 02:15:00',
               ...
               '2009-12-31 20:45:00', '2009-12-31 21:00:00',
               '2009-12-31 21:15:00', '2009-12-31 21:30:00',
               '2009-12-31 21:45:00', '2009-12-31 22:00:00',
               '2009-12-31 22:15:00', '2009-12-31 22:30:00',
               '2009-12-31 22:45:00', '2009-12-31 23:00:00'],
              dtype='datetime64[ns]', length=769, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.64, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2009-12-07 09:00:00', '2009-12-07 09:15:00',
               '2009-12-07 09:30:00', '2009-12-07 09:45:00',
               '2009-12-07 10:00:00', '2009-12-07 10:15:00',
               '2009-12-07 10:30:00', '2009-12-07 10:45:00',
               '2009-12-07 11:00:00', '2009-12-07 11:15:00',
               ...
               '2009-12-31 20:45:00', '2009-12-31 21:00:00',
               '2009-12-31 21:15:00', '2009-12-31 21:30:00',
               '2009-12-31 21:45:00', '2009-12-31 22:00:00',
               '2009-12-31 22:15:00', '2009-12-31 22:30:00',
               '2009-12-31 22:45:00', '2009-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2361, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-12-01 00:00:00', '2009-12-01 00:15:00',
               '2009-12-01 00:30:00', '2009-12-01 00:45:00',
               '2009-12-01 01:00:00', '2009-12-01 01:15:00',
               '2009-12-01 01:30:00', '2009-12-01 01:45:00',
               '2009-12-01 02:00:00', '2009-12-01 02:15:00',
               ...
               '2009-12-06 06:45:00', '2009-12-06 07:00:00',
               '2009-12-06 07:15:00', '2009-12-06 07:30:00',
               '2009-12-06 07:45:00', '2009-12-06 08:00:00',
               '2009-12-06 08:15:00', '2009-12-06 08:30:00',
               '2009-12-06 08:45:00', '2009-12-06 09:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2009-12-1T00 to 2009-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2009-12-01 00:00:00', '2009-12-01 00:15:00',
               '2009-12-01 00:30:00', '2009-12-01 00:45:00',
               '2009-12-01 01:00:00', '2009-12-01 01:15:00',
               '2009-12-01 01:30:00', '2009-12-01 01:45:00',
               '2009-12-01 02:00:00', '2009-12-01 02:15:00',
               '2009-12-01 02:30:00', '2009-12-01 02:45:00',
               '2009-12-01 03:00:00', '2009-12-01 03:15:00',
               '2009-12-01 03:30:00', '2009-12-01 03:45:00',
               '2009-12-01 04:00:00', '2009-12-01 04:15:00',
               '2009-12-01 04:30:00', '2009-12-01 04:45:00',
               '2009-12-01 05:00:00', '2009-12-01 05:15:00',
               '2009-12-01 05:30:00', '2009-12-01 05:45:00',
               '2009-12-01 06:00:00', '2009-12-01 06:15:00',
               '2009-12-01 06:30:00', '2009-12-01 06:45:00',
               '2009-12-01 07:00:00', '2009-12-01 07:15:00',
               '2009-12-01 07:30:00', '2009-12-01 07:45:00',
               '2009-12-01 08:00:00', '2009-12-01 08:15:00',
               '2009-12-01 08:30:00', '2009-12-01 08:45:00',
               '2009-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2009-12-1T00 to 2009-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2010

year = 2010
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-01-01 00:00:00', '2010-01-01 00:15:00',
               '2010-01-01 00:30:00', '2010-01-01 00:45:00',
               '2010-01-01 01:00:00', '2010-01-01 01:15:00',
               '2010-01-01 01:30:00', '2010-01-01 01:45:00',
               '2010-01-01 02:00:00', '2010-01-01 02:15:00',
               ...
               '2010-01-16 06:45:00', '2010-01-16 07:00:00',
               '2010-01-16 07:15:00', '2010-01-16 07:30:00',
               '2010-01-16 07:45:00', '2010-01-16 08:00:00',
               '2010-01-16 08:15:00', '2010-01-16 08:30:00',
               '2010-01-16 08:45:00', '2010-01-16 09:00:00'],
              dtype='datetime64[ns]', length=905, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-01-01 00:00:00', '2010-01-01 00:15:00',
               '2010-01-01 00:30:00', '2010-01-01 00:45:00',
               '2010-01-01 01:00:00', '2010-01-01 01:15:00',
               '2010-01-01 01:30:00', '2010-01-01 01:45:00',
               '2010-01-01 02:00:00', '2010-01-01 02:15:00',
               '2010-01-01 02:30:00', '2010-01-01 02:45:00',
               '2010-01-01 03:00:00', '2010-01-01 03:15:00',
               '2010-01-01 03:30:00', '2010-01-01 03:45:00',
               '2010-01-01 04:00:00', '2010-01-01 04:15:00',
               '2010-01-01 04:30:00', '2010-01-01 04:45:00',
               '2010-01-01 05:00:00', '2010-01-01 05:15:00',
               '2010-01-01 05:30:00', '2010-01-01 05:45:00',
               '2010-01-01 06:00:00', '2010-01-01 06:15:00',
               '2010-01-01 06:30:00', '2010-01-01 06:45:00',
               '2010-01-01 07:00:00', '2010-01-01 07:15:00',
               '2010-01-01 07:30:00', '2010-01-01 07:45:00',
               '2010-01-01 08:00:00', '2010-01-01 08:15:00',
               '2010-01-01 08:30:00', '2010-01-01 08:45:00',
               '2010-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-01-10 09:00:00', '2010-01-10 09:15:00',
               '2010-01-10 09:30:00', '2010-01-10 09:45:00',
               '2010-01-10 10:00:00', '2010-01-10 10:15:00',
               '2010-01-10 10:30:00', '2010-01-10 10:45:00',
               '2010-01-10 11:00:00', '2010-01-10 11:15:00',
               ...
               '2010-01-31 20:45:00', '2010-01-31 21:00:00',
               '2010-01-31 21:15:00', '2010-01-31 21:30:00',
               '2010-01-31 21:45:00', '2010-01-31 22:00:00',
               '2010-01-31 22:15:00', '2010-01-31 22:30:00',
               '2010-01-31 22:45:00', '2010-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2073, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-01-01 00:00:00', '2010-01-01 00:15:00',
               '2010-01-01 00:30:00', '2010-01-01 00:45:00',
               '2010-01-01 01:00:00', '2010-01-01 01:15:00',
               '2010-01-01 01:30:00', '2010-01-01 01:45:00',
               '2010-01-01 02:00:00', '2010-01-01 02:15:00',
               ...
               '2010-01-05 06:45:00', '2010-01-05 07:00:00',
               '2010-01-05 07:15:00', '2010-01-05 07:30:00',
               '2010-01-05 07:45:00', '2010-01-05 08:00:00',
               '2010-01-05 08:15:00', '2010-01-05 08:30:00',
               '2010-01-05 08:45:00', '2010-01-05 09:00:00'],
              dtype='datetime64[ns]', length=421, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.71, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-1-1T00 to 2010-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-01-01 00:00:00', '2010-01-01 00:15:00',
               '2010-01-01 00:30:00', '2010-01-01 00:45:00',
               '2010-01-01 01:00:00', '2010-01-01 01:15:00',
               '2010-01-01 01:30:00', '2010-01-01 01:45:00',
               '2010-01-01 02:00:00', '2010-01-01 02:15:00',
               '2010-01-01 02:30:00', '2010-01-01 02:45:00',
               '2010-01-01 03:00:00', '2010-01-01 03:15:00',
               '2010-01-01 03:30:00', '2010-01-01 03:45:00',
               '2010-01-01 04:00:00', '2010-01-01 04:15:00',
               '2010-01-01 04:30:00', '2010-01-01 04:45:00',
               '2010-01-01 05:00:00', '2010-01-01 05:15:00',
               '2010-01-01 05:30:00', '2010-01-01 05:45:00',
               '2010-01-01 06:00:00', '2010-01-01 06:15:00',
               '2010-01-01 06:30:00', '2010-01-01 06:45:00',
               '2010-01-01 07:00:00', '2010-01-01 07:15:00',
               '2010-01-01 07:30:00', '2010-01-01 07:45:00',
               '2010-01-01 08:00:00', '2010-01-01 08:15:00',
               '2010-01-01 08:30:00', '2010-01-01 08:45:00',
               '2010-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-1-1T00 to 2010-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-02-01 00:00:00', '2010-02-01 00:15:00',
               '2010-02-01 00:30:00', '2010-02-01 00:45:00',
               '2010-02-01 01:00:00', '2010-02-01 01:15:00',
               '2010-02-01 01:30:00', '2010-02-01 01:45:00',
               '2010-02-01 02:00:00', '2010-02-01 02:15:00',
               ...
               '2010-02-28 20:45:00', '2010-02-28 21:00:00',
               '2010-02-28 21:15:00', '2010-02-28 21:30:00',
               '2010-02-28 21:45:00', '2010-02-28 22:00:00',
               '2010-02-28 22:15:00', '2010-02-28 22:30:00',
               '2010-02-28 22:45:00', '2010-02-28 23:00:00'],
              dtype='datetime64[ns]', length=289, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-02-01 00:00:00', '2010-02-01 00:15:00',
               '2010-02-01 00:30:00', '2010-02-01 00:45:00',
               '2010-02-01 01:00:00', '2010-02-01 01:15:00',
               '2010-02-01 01:30:00', '2010-02-01 01:45:00',
               '2010-02-01 02:00:00', '2010-02-01 02:15:00',
               ...
               '2010-02-09 06:45:00', '2010-02-09 07:00:00',
               '2010-02-09 07:15:00', '2010-02-09 07:30:00',
               '2010-02-09 07:45:00', '2010-02-09 08:00:00',
               '2010-02-09 08:15:00', '2010-02-09 08:30:00',
               '2010-02-09 08:45:00', '2010-02-09 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-02-01 00:00:00', '2010-02-01 00:15:00',
               '2010-02-01 00:30:00', '2010-02-01 00:45:00',
               '2010-02-01 01:00:00', '2010-02-01 01:15:00',
               '2010-02-01 01:30:00', '2010-02-01 01:45:00',
               '2010-02-01 02:00:00', '2010-02-01 02:15:00',
               ...
               '2010-02-13 06:30:00', '2010-02-13 06:45:00',
               '2010-02-13 07:00:00', '2010-02-13 07:15:00',
               '2010-02-13 07:30:00', '2010-02-13 07:45:00',
               '2010-02-13 08:00:00', '2010-02-13 08:15:00',
               '2010-02-13 08:30:00', '2010-02-13 08:45:00'],
              dtype='datetime64[ns]', length=1188, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-02-18 08:45:00', '2010-02-18 09:00:00',
               '2010-02-18 09:15:00', '2010-02-18 09:30:00',
               '2010-02-18 09:45:00', '2010-02-18 10:00:00',
               '2010-02-18 10:15:00', '2010-02-18 10:30:00',
               '2010-02-18 10:45:00', '2010-02-18 11:00:00',
               ...
               '2010-02-28 20:45:00', '2010-02-28 21:00:00',
               '2010-02-28 21:15:00', '2010-02-28 21:30:00',
               '2010-02-28 21:45:00', '2010-02-28 22:00:00',
               '2010-02-28 22:15:00', '2010-02-28 22:30:00',
               '2010-02-28 22:45:00', '2010-02-28 23:00:00'],
              dtype='datetime64[ns]', length=732, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.53, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-02-12 05:00:00', '2010-02-12 05:15:00',
               '2010-02-12 05:30:00', '2010-02-12 05:45:00',
               '2010-02-12 06:00:00', '2010-02-12 06:15:00',
               '2010-02-12 06:30:00', '2010-02-12 06:45:00',
               '2010-02-12 07:00:00', '2010-02-12 07:15:00',
               ...
               '2010-02-18 07:30:00', '2010-02-18 07:45:00',
               '2010-02-18 08:00:00', '2010-02-18 08:15:00',
               '2010-02-18 08:30:00', '2010-02-18 08:45:00',
               '2010-02-18 09:00:00', '2010-02-18 09:15:00',
               '2010-02-18 09:30:00', '2010-02-18 09:45:00'],
              dtype='datetime64[ns]', length=596, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-02-01 00:00:00', '2010-02-01 00:15:00',
               '2010-02-01 00:30:00', '2010-02-01 00:45:00',
               '2010-02-01 01:00:00', '2010-02-01 01:15:00',
               '2010-02-01 01:30:00', '2010-02-01 01:45:00',
               '2010-02-01 02:00:00', '2010-02-01 02:15:00',
               ...
               '2010-02-19 06:30:00', '2010-02-19 06:45:00',
               '2010-02-19 07:00:00', '2010-02-19 07:15:00',
               '2010-02-19 07:30:00', '2010-02-19 07:45:00',
               '2010-02-19 08:00:00', '2010-02-19 08:15:00',
               '2010-02-19 08:30:00', '2010-02-19 08:45:00'],
              dtype='datetime64[ns]', length=1764, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-02-19 09:00:00', '2010-02-19 09:15:00',
               '2010-02-19 09:30:00', '2010-02-19 09:45:00',
               '2010-02-19 10:00:00', '2010-02-19 10:15:00',
               '2010-02-19 10:30:00', '2010-02-19 10:45:00',
               '2010-02-19 11:00:00', '2010-02-19 11:15:00',
               ...
               '2010-02-28 20:45:00', '2010-02-28 21:00:00',
               '2010-02-28 21:15:00', '2010-02-28 21:30:00',
               '2010-02-28 21:45:00', '2010-02-28 22:00:00',
               '2010-02-28 22:15:00', '2010-02-28 22:30:00',
               '2010-02-28 22:45:00', '2010-02-28 23:00:00'],
              dtype='datetime64[ns]', length=541, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-2-1T00 to 2010-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-02-01 00:00:00', '2010-02-01 00:15:00',
               '2010-02-01 00:30:00', '2010-02-01 00:45:00',
               '2010-02-01 01:00:00', '2010-02-01 01:15:00',
               '2010-02-01 01:30:00', '2010-02-01 01:45:00',
               '2010-02-01 02:00:00', '2010-02-01 02:15:00',
               '2010-02-01 02:30:00', '2010-02-01 02:45:00',
               '2010-02-01 03:00:00', '2010-02-01 03:15:00',
               '2010-02-01 03:30:00', '2010-02-01 03:45:00',
               '2010-02-01 04:00:00', '2010-02-01 04:15:00',
               '2010-02-01 04:30:00', '2010-02-01 04:45:00',
               '2010-02-01 05:00:00', '2010-02-01 05:15:00',
               '2010-02-01 05:30:00', '2010-02-01 05:45:00',
               '2010-02-01 06:00:00', '2010-02-01 06:15:00',
               '2010-02-01 06:30:00', '2010-02-01 06:45:00',
               '2010-02-01 07:00:00', '2010-02-01 07:15:00',
               '2010-02-01 07:30:00', '2010-02-01 07:45:00',
               '2010-02-01 08:00:00', '2010-02-01 08:15:00',
               '2010-02-01 08:30:00', '2010-02-01 08:45:00',
               '2010-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-2-1T00 to 2010-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-03-31 19:30:00', '2010-03-31 19:45:00',
               '2010-03-31 20:00:00', '2010-03-31 20:15:00',
               '2010-03-31 20:30:00', '2010-03-31 20:45:00',
               '2010-03-31 21:00:00', '2010-03-31 21:15:00',
               '2010-03-31 21:30:00', '2010-03-31 21:45:00',
               '2010-03-31 22:00:00', '2010-03-31 22:15:00',
               '2010-03-31 22:30:00', '2010-03-31 22:45:00',
               '2010-03-31 23:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-03-07 09:00:00', '2010-03-07 09:15:00',
               '2010-03-07 09:30:00', '2010-03-07 09:45:00',
               '2010-03-07 10:00:00', '2010-03-07 10:15:00',
               '2010-03-07 10:30:00', '2010-03-07 10:45:00',
               '2010-03-07 11:00:00', '2010-03-07 11:15:00',
               ...
               '2010-03-17 05:30:00', '2010-03-17 05:45:00',
               '2010-03-17 06:00:00', '2010-03-17 06:15:00',
               '2010-03-17 06:30:00', '2010-03-17 06:45:00',
               '2010-03-17 07:00:00', '2010-03-17 07:15:00',
               '2010-03-17 07:30:00', '2010-03-17 07:45:00'],
              dtype='datetime64[ns]', length=956, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-03-01 00:00:00', '2010-03-01 00:15:00',
               '2010-03-01 00:30:00', '2010-03-01 00:45:00',
               '2010-03-01 01:00:00', '2010-03-01 01:15:00',
               '2010-03-01 01:30:00', '2010-03-01 01:45:00',
               '2010-03-01 02:00:00', '2010-03-01 02:15:00',
               ...
               '2010-03-31 20:45:00', '2010-03-31 21:00:00',
               '2010-03-31 21:15:00', '2010-03-31 21:30:00',
               '2010-03-31 21:45:00', '2010-03-31 22:00:00',
               '2010-03-31 22:15:00', '2010-03-31 22:30:00',
               '2010-03-31 22:45:00', '2010-03-31 23:00:00'],
              dtype='datetime64[ns]', length=487, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-03-01 00:00:00', '2010-03-01 00:15:00',
               '2010-03-01 00:30:00', '2010-03-01 00:45:00',
               '2010-03-01 01:00:00', '2010-03-01 01:15:00',
               '2010-03-01 01:30:00', '2010-03-01 01:45:00',
               '2010-03-01 02:00:00', '2010-03-01 02:15:00',
               ...
               '2010-03-11 06:45:00', '2010-03-11 07:00:00',
               '2010-03-11 07:15:00', '2010-03-11 07:30:00',
               '2010-03-11 07:45:00', '2010-03-11 08:00:00',
               '2010-03-11 08:15:00', '2010-03-11 08:30:00',
               '2010-03-11 08:45:00', '2010-03-11 09:00:00'],
              dtype='datetime64[ns]', length=425, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-03-01 00:00:00', '2010-03-01 00:15:00',
               '2010-03-01 00:30:00', '2010-03-01 00:45:00',
               '2010-03-01 01:00:00', '2010-03-01 01:15:00',
               '2010-03-01 01:30:00', '2010-03-01 01:45:00',
               '2010-03-01 02:00:00', '2010-03-01 02:15:00',
               ...
               '2010-03-22 05:30:00', '2010-03-22 05:45:00',
               '2010-03-22 06:00:00', '2010-03-22 06:15:00',
               '2010-03-22 06:30:00', '2010-03-22 06:45:00',
               '2010-03-22 07:00:00', '2010-03-22 07:15:00',
               '2010-03-22 07:30:00', '2010-03-22 07:45:00'],
              dtype='datetime64[ns]', length=2048, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-03-28 07:45:00', '2010-03-28 08:00:00',
               '2010-03-28 08:15:00', '2010-03-28 08:30:00',
               '2010-03-28 08:45:00', '2010-03-28 09:00:00',
               '2010-03-28 09:15:00', '2010-03-28 09:30:00',
               '2010-03-28 09:45:00', '2010-03-28 10:00:00',
               ...
               '2010-03-31 20:45:00', '2010-03-31 21:00:00',
               '2010-03-31 21:15:00', '2010-03-31 21:30:00',
               '2010-03-31 21:45:00', '2010-03-31 22:00:00',
               '2010-03-31 22:15:00', '2010-03-31 22:30:00',
               '2010-03-31 22:45:00', '2010-03-31 23:00:00'],
              dtype='datetime64[ns]', length=350, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.54, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-03-01 00:00:00', '2010-03-01 00:15:00',
               '2010-03-01 00:30:00', '2010-03-01 00:45:00',
               '2010-03-01 01:00:00', '2010-03-01 01:15:00',
               '2010-03-01 01:30:00', '2010-03-01 01:45:00',
               '2010-03-01 02:00:00', '2010-03-01 02:15:00',
               ...
               '2010-03-25 05:30:00', '2010-03-25 05:45:00',
               '2010-03-25 06:00:00', '2010-03-25 06:15:00',
               '2010-03-25 06:30:00', '2010-03-25 06:45:00',
               '2010-03-25 07:00:00', '2010-03-25 07:15:00',
               '2010-03-25 07:30:00', '2010-03-25 07:45:00'],
              dtype='datetime64[ns]', length=2336, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-03-07 09:00:00', '2010-03-07 09:15:00',
               '2010-03-07 09:30:00', '2010-03-07 09:45:00',
               '2010-03-07 10:00:00', '2010-03-07 10:15:00',
               '2010-03-07 10:30:00', '2010-03-07 10:45:00',
               '2010-03-07 11:00:00', '2010-03-07 11:15:00',
               ...
               '2010-03-19 05:30:00', '2010-03-19 05:45:00',
               '2010-03-19 06:00:00', '2010-03-19 06:15:00',
               '2010-03-19 06:30:00', '2010-03-19 06:45:00',
               '2010-03-19 07:00:00', '2010-03-19 07:15:00',
               '2010-03-19 07:30:00', '2010-03-19 07:45:00'],
              dtype='datetime64[ns]', length=1148, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-03-01 00:00:00', '2010-03-01 00:15:00',
               '2010-03-01 00:30:00', '2010-03-01 00:45:00',
               '2010-03-01 01:00:00', '2010-03-01 01:15:00',
               '2010-03-01 01:30:00', '2010-03-01 01:45:00',
               '2010-03-01 02:00:00', '2010-03-01 02:15:00',
               ...
               '2010-03-25 05:45:00', '2010-03-25 06:00:00',
               '2010-03-25 06:15:00', '2010-03-25 06:30:00',
               '2010-03-25 06:45:00', '2010-03-25 07:00:00',
               '2010-03-25 07:15:00', '2010-03-25 07:30:00',
               '2010-03-25 07:45:00', '2010-03-25 08:00:00'],
              dtype='datetime64[ns]', length=327, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-3-1T00 to 2010-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-03-01 00:00:00', '2010-03-01 00:15:00',
               '2010-03-01 00:30:00', '2010-03-01 00:45:00',
               '2010-03-01 01:00:00', '2010-03-01 01:15:00',
               '2010-03-01 01:30:00', '2010-03-01 01:45:00',
               '2010-03-01 02:00:00', '2010-03-01 02:15:00',
               '2010-03-01 02:30:00', '2010-03-01 02:45:00',
               '2010-03-01 03:00:00', '2010-03-01 03:15:00',
               '2010-03-01 03:30:00', '2010-03-01 03:45:00',
               '2010-03-01 04:00:00', '2010-03-01 04:15:00',
               '2010-03-01 04:30:00', '2010-03-01 04:45:00',
               '2010-03-01 05:00:00', '2010-03-01 05:15:00',
               '2010-03-01 05:30:00', '2010-03-01 05:45:00',
               '2010-03-01 06:00:00', '2010-03-01 06:15:00',
               '2010-03-01 06:30:00', '2010-03-01 06:45:00',
               '2010-03-01 07:00:00', '2010-03-01 07:15:00',
               '2010-03-01 07:30:00', '2010-03-01 07:45:00',
               '2010-03-01 08:00:00', '2010-03-01 08:15:00',
               '2010-03-01 08:30:00', '2010-03-01 08:45:00',
               '2010-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-3-1T00 to 2010-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               ...
               '2010-04-27 05:30:00', '2010-04-27 05:45:00',
               '2010-04-27 06:00:00', '2010-04-27 06:15:00',
               '2010-04-27 06:30:00', '2010-04-27 06:45:00',
               '2010-04-27 07:00:00', '2010-04-27 07:15:00',
               '2010-04-27 07:30:00', '2010-04-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               ...
               '2010-04-12 05:45:00', '2010-04-12 06:00:00',
               '2010-04-12 06:15:00', '2010-04-12 06:30:00',
               '2010-04-12 06:45:00', '2010-04-12 07:00:00',
               '2010-04-12 07:15:00', '2010-04-12 07:30:00',
               '2010-04-12 07:45:00', '2010-04-12 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               ...
               '2010-04-11 05:30:00', '2010-04-11 05:45:00',
               '2010-04-11 06:00:00', '2010-04-11 06:15:00',
               '2010-04-11 06:30:00', '2010-04-11 06:45:00',
               '2010-04-11 07:00:00', '2010-04-11 07:15:00',
               '2010-04-11 07:30:00', '2010-04-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-24 01:00:00', '2010-04-24 01:15:00',
               '2010-04-24 01:30:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               ...
               '2010-04-17 05:30:00', '2010-04-17 05:45:00',
               '2010-04-17 06:00:00', '2010-04-17 06:15:00',
               '2010-04-17 06:30:00', '2010-04-17 06:45:00',
               '2010-04-17 07:00:00', '2010-04-17 07:15:00',
               '2010-04-17 07:30:00', '2010-04-17 07:45:00'],
              dtype='datetime64[ns]', length=1568, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               '2010-04-01 02:30:00', '2010-04-01 02:45:00',
               '2010-04-01 03:00:00', '2010-04-01 03:15:00',
               '2010-04-01 03:30:00', '2010-04-01 03:45:00',
               '2010-04-01 04:00:00', '2010-04-01 04:15:00',
               '2010-04-01 04:30:00', '2010-04-01 04:45:00',
               '2010-04-01 05:00:00', '2010-04-01 05:15:00',
               '2010-04-01 05:30:00', '2010-04-01 05:45:00',
               '2010-04-01 06:00:00', '2010-04-01 06:15:00',
               '2010-04-01 06:30:00', '2010-04-01 06:45:00',
               '2010-04-01 07:00:00', '2010-04-01 07:15:00',
               '2010-04-01 07:30:00', '2010-04-01 07:45:00',
               '2010-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               ...
               '2010-04-30 20:45:00', '2010-04-30 21:00:00',
               '2010-04-30 21:15:00', '2010-04-30 21:30:00',
               '2010-04-30 21:45:00', '2010-04-30 22:00:00',
               '2010-04-30 22:15:00', '2010-04-30 22:30:00',
               '2010-04-30 22:45:00', '2010-04-30 23:00:00'],
              dtype='datetime64[ns]', length=575, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               '2010-04-01 02:30:00', '2010-04-01 02:45:00',
               '2010-04-01 03:00:00', '2010-04-01 03:15:00',
               '2010-04-01 03:30:00', '2010-04-01 03:45:00',
               '2010-04-01 04:00:00', '2010-04-01 04:15:00',
               '2010-04-01 04:30:00', '2010-04-01 04:45:00',
               '2010-04-01 05:00:00', '2010-04-01 05:15:00',
               '2010-04-01 05:30:00', '2010-04-01 05:45:00',
               '2010-04-01 06:00:00', '2010-04-01 06:15:00',
               '2010-04-01 06:30:00', '2010-04-01 06:45:00',
               '2010-04-01 07:00:00', '2010-04-01 07:15:00',
               '2010-04-01 07:30:00', '2010-04-01 07:45:00',
               '2010-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               '2010-04-01 02:30:00', '2010-04-01 02:45:00',
               '2010-04-01 03:00:00', '2010-04-01 03:15:00',
               '2010-04-01 03:30:00', '2010-04-01 03:45:00',
               '2010-04-01 04:00:00', '2010-04-01 04:15:00',
               '2010-04-01 04:30:00', '2010-04-01 04:45:00',
               '2010-04-01 05:00:00', '2010-04-01 05:15:00',
               '2010-04-01 05:30:00', '2010-04-01 05:45:00',
               '2010-04-01 06:00:00', '2010-04-01 06:15:00',
               '2010-04-01 06:30:00', '2010-04-01 06:45:00',
               '2010-04-01 07:00:00', '2010-04-01 07:15:00',
               '2010-04-01 07:30:00', '2010-04-01 07:45:00',
               '2010-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               '2010-04-01 02:30:00', '2010-04-01 02:45:00',
               '2010-04-01 03:00:00', '2010-04-01 03:15:00',
               '2010-04-01 03:30:00', '2010-04-01 03:45:00',
               '2010-04-01 04:00:00', '2010-04-01 04:15:00',
               '2010-04-01 04:30:00', '2010-04-01 04:45:00',
               '2010-04-01 05:00:00', '2010-04-01 05:15:00',
               '2010-04-01 05:30:00', '2010-04-01 05:45:00',
               '2010-04-01 06:00:00', '2010-04-01 06:15:00',
               '2010-04-01 06:30:00', '2010-04-01 06:45:00',
               '2010-04-01 07:00:00', '2010-04-01 07:15:00',
               '2010-04-01 07:30:00', '2010-04-01 07:45:00',
               '2010-04-01 08:00:00', '2010-04-08 19:30:00',
               '2010-04-08 19:45:00', '2010-04-08 20:00:00',
               '2010-04-08 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15292000.
{L:132} min data value: 0.99, min INDEP value is 4.5
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               ...
               '2010-04-28 18:45:00', '2010-04-28 19:00:00',
               '2010-04-28 19:15:00', '2010-04-28 19:30:00',
               '2010-04-28 19:45:00', '2010-04-28 20:00:00',
               '2010-04-28 20:15:00', '2010-04-28 20:30:00',
               '2010-04-28 20:45:00', '2010-04-28 21:00:00'],
              dtype='datetime64[ns]', length=2677, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-4-1T00 to 2010-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               ...
               '2010-04-27 05:30:00', '2010-04-27 05:45:00',
               '2010-04-27 06:00:00', '2010-04-27 06:15:00',
               '2010-04-27 06:30:00', '2010-04-27 06:45:00',
               '2010-04-27 07:00:00', '2010-04-27 07:15:00',
               '2010-04-27 07:30:00', '2010-04-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-04-01 00:00:00', '2010-04-01 00:15:00',
               '2010-04-01 00:30:00', '2010-04-01 00:45:00',
               '2010-04-01 01:00:00', '2010-04-01 01:15:00',
               '2010-04-01 01:30:00', '2010-04-01 01:45:00',
               '2010-04-01 02:00:00', '2010-04-01 02:15:00',
               '2010-04-01 02:30:00', '2010-04-01 02:45:00',
               '2010-04-01 03:00:00', '2010-04-01 03:15:00',
               '2010-04-01 03:30:00', '2010-04-01 03:45:00',
               '2010-04-01 04:00:00', '2010-04-01 04:15:00',
               '2010-04-01 04:30:00', '2010-04-01 04:45:00',
               '2010-04-01 05:00:00', '2010-04-01 05:15:00',
               '2010-04-01 05:30:00', '2010-04-01 05:45:00',
               '2010-04-01 06:00:00', '2010-04-01 06:15:00',
               '2010-04-01 06:30:00', '2010-04-01 06:45:00',
               '2010-04-01 07:00:00', '2010-04-01 07:15:00',
               '2010-04-01 07:30:00', '2010-04-01 07:45:00',
               '2010-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-4-1T00 to 2010-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00', '2010-05-02 19:00:00',
               '2010-05-02 19:15:00', '2010-05-02 19:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00', '2010-05-11 00:15:00',
               '2010-05-11 00:30:00', '2010-05-11 00:45:00',
               '2010-05-11 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00', '2010-05-24 20:45:00',
               '2010-05-24 21:00:00', '2010-05-24 21:15:00',
               '2010-05-24 21:30:00', '2010-05-24 21:45:00',
               '2010-05-24 22:00:00', '2010-05-24 22:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15292000.
{L:132} min data value: 0.88, min INDEP value is 4.5
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2010-05-06 19:45:00', '2010-05-06 20:00:00',
               '2010-05-06 20:15:00', '2010-05-06 20:30:00',
               '2010-05-06 20:45:00', '2010-05-06 21:00:00',
               '2010-05-06 21:15:00', '2010-05-06 21:30:00',
               '2010-05-06 21:45:00', '2010-05-06 22:00:00',
               ...
               '2010-05-22 17:30:00', '2010-05-22 17:45:00',
               '2010-05-22 18:00:00', '2010-05-22 18:15:00',
               '2010-05-22 18:30:00', '2010-05-22 18:45:00',
               '2010-05-22 19:00:00', '2010-05-22 19:15:00',
               '2010-05-22 19:30:00', '2010-05-22 19:45:00'],
              dtype='datetime64[ns]', length=1537, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               ...
               '2010-05-23 05:30:00', '2010-05-23 05:45:00',
               '2010-05-23 06:00:00', '2010-05-23 06:15:00',
               '2010-05-23 06:30:00', '2010-05-23 06:45:00',
               '2010-05-23 07:00:00', '2010-05-23 07:15:00',
               '2010-05-23 07:30:00', '2010-05-23 07:45:00'],
              dtype='datetime64[ns]', length=2144, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-24 20:15:00', '2010-05-24 20:30:00',
               '2010-05-24 20:45:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-5-1T00 to 2010-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-05-01 00:00:00', '2010-05-01 00:15:00',
               '2010-05-01 00:30:00', '2010-05-01 00:45:00',
               '2010-05-01 01:00:00', '2010-05-01 01:15:00',
               '2010-05-01 01:30:00', '2010-05-01 01:45:00',
               '2010-05-01 02:00:00', '2010-05-01 02:15:00',
               '2010-05-01 02:30:00', '2010-05-01 02:45:00',
               '2010-05-01 03:00:00', '2010-05-01 03:15:00',
               '2010-05-01 03:30:00', '2010-05-01 03:45:00',
               '2010-05-01 04:00:00', '2010-05-01 04:15:00',
               '2010-05-01 04:30:00', '2010-05-01 04:45:00',
               '2010-05-01 05:00:00', '2010-05-01 05:15:00',
               '2010-05-01 05:30:00', '2010-05-01 05:45:00',
               '2010-05-01 06:00:00', '2010-05-01 06:15:00',
               '2010-05-01 06:30:00', '2010-05-01 06:45:00',
               '2010-05-01 07:00:00', '2010-05-01 07:15:00',
               '2010-05-01 07:30:00', '2010-05-01 07:45:00',
               '2010-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-5-1T00 to 2010-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               ...
               '2010-06-26 05:45:00', '2010-06-26 06:00:00',
               '2010-06-26 06:15:00', '2010-06-26 06:30:00',
               '2010-06-26 06:45:00', '2010-06-26 07:00:00',
               '2010-06-26 07:15:00', '2010-06-26 07:30:00',
               '2010-06-26 07:45:00', '2010-06-26 08:00:00'],
              dtype='datetime64[ns]', length=517, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00', '2010-06-01 22:30:00',
               '2010-06-01 22:45:00', '2010-06-01 23:00:00',
               '2010-06-01 23:15:00', '2010-06-01 23:30:00',
               '2010-06-01 23:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-6-1T00 to 2010-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-06-01 00:00:00', '2010-06-01 00:15:00',
               '2010-06-01 00:30:00', '2010-06-01 00:45:00',
               '2010-06-01 01:00:00', '2010-06-01 01:15:00',
               '2010-06-01 01:30:00', '2010-06-01 01:45:00',
               '2010-06-01 02:00:00', '2010-06-01 02:15:00',
               '2010-06-01 02:30:00', '2010-06-01 02:45:00',
               '2010-06-01 03:00:00', '2010-06-01 03:15:00',
               '2010-06-01 03:30:00', '2010-06-01 03:45:00',
               '2010-06-01 04:00:00', '2010-06-01 04:15:00',
               '2010-06-01 04:30:00', '2010-06-01 04:45:00',
               '2010-06-01 05:00:00', '2010-06-01 05:15:00',
               '2010-06-01 05:30:00', '2010-06-01 05:45:00',
               '2010-06-01 06:00:00', '2010-06-01 06:15:00',
               '2010-06-01 06:30:00', '2010-06-01 06:45:00',
               '2010-06-01 07:00:00', '2010-06-01 07:15:00',
               '2010-06-01 07:30:00', '2010-06-01 07:45:00',
               '2010-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-6-1T00 to 2010-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00', '2010-07-12 20:15:00',
               '2010-07-12 20:30:00', '2010-07-12 20:45:00',
               '2010-07-12 21:00:00', '2010-07-12 21:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               ...
               '2010-07-15 05:45:00', '2010-07-15 06:00:00',
               '2010-07-15 06:15:00', '2010-07-15 06:30:00',
               '2010-07-15 06:45:00', '2010-07-15 07:00:00',
               '2010-07-15 07:15:00', '2010-07-15 07:30:00',
               '2010-07-15 07:45:00', '2010-07-15 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00', '2010-07-21 21:30:00',
               '2010-07-21 21:45:00', '2010-07-21 22:00:00',
               '2010-07-21 22:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-7-1T00 to 2010-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-07-01 00:00:00', '2010-07-01 00:15:00',
               '2010-07-01 00:30:00', '2010-07-01 00:45:00',
               '2010-07-01 01:00:00', '2010-07-01 01:15:00',
               '2010-07-01 01:30:00', '2010-07-01 01:45:00',
               '2010-07-01 02:00:00', '2010-07-01 02:15:00',
               '2010-07-01 02:30:00', '2010-07-01 02:45:00',
               '2010-07-01 03:00:00', '2010-07-01 03:15:00',
               '2010-07-01 03:30:00', '2010-07-01 03:45:00',
               '2010-07-01 04:00:00', '2010-07-01 04:15:00',
               '2010-07-01 04:30:00', '2010-07-01 04:45:00',
               '2010-07-01 05:00:00', '2010-07-01 05:15:00',
               '2010-07-01 05:30:00', '2010-07-01 05:45:00',
               '2010-07-01 06:00:00', '2010-07-01 06:15:00',
               '2010-07-01 06:30:00', '2010-07-01 06:45:00',
               '2010-07-01 07:00:00', '2010-07-01 07:15:00',
               '2010-07-01 07:30:00', '2010-07-01 07:45:00',
               '2010-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-7-1T00 to 2010-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00', '2010-08-19 22:15:00',
               '2010-08-19 22:30:00', '2010-08-19 22:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               ...
               '2010-08-14 05:45:00', '2010-08-14 06:00:00',
               '2010-08-14 06:15:00', '2010-08-14 06:30:00',
               '2010-08-14 06:45:00', '2010-08-14 07:00:00',
               '2010-08-14 07:15:00', '2010-08-14 07:30:00',
               '2010-08-14 07:45:00', '2010-08-14 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-8-1T00 to 2010-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00', '2010-08-27 10:15:00',
               '2010-08-27 10:30:00', '2010-08-27 10:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-08-01 00:00:00', '2010-08-01 00:15:00',
               '2010-08-01 00:30:00', '2010-08-01 00:45:00',
               '2010-08-01 01:00:00', '2010-08-01 01:15:00',
               '2010-08-01 01:30:00', '2010-08-01 01:45:00',
               '2010-08-01 02:00:00', '2010-08-01 02:15:00',
               '2010-08-01 02:30:00', '2010-08-01 02:45:00',
               '2010-08-01 03:00:00', '2010-08-01 03:15:00',
               '2010-08-01 03:30:00', '2010-08-01 03:45:00',
               '2010-08-01 04:00:00', '2010-08-01 04:15:00',
               '2010-08-01 04:30:00', '2010-08-01 04:45:00',
               '2010-08-01 05:00:00', '2010-08-01 05:15:00',
               '2010-08-01 05:30:00', '2010-08-01 05:45:00',
               '2010-08-01 06:00:00', '2010-08-01 06:15:00',
               '2010-08-01 06:30:00', '2010-08-01 06:45:00',
               '2010-08-01 07:00:00', '2010-08-01 07:15:00',
               '2010-08-01 07:30:00', '2010-08-01 07:45:00',
               '2010-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-8-1T00 to 2010-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00', '2010-09-21 19:00:00',
               '2010-09-21 19:15:00', '2010-09-21 19:30:00',
               '2010-09-21 19:45:00', '2010-09-21 20:00:00',
               '2010-09-21 20:15:00', '2010-09-21 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               ...
               '2010-09-12 05:45:00', '2010-09-12 06:00:00',
               '2010-09-12 06:15:00', '2010-09-12 06:30:00',
               '2010-09-12 06:45:00', '2010-09-12 07:00:00',
               '2010-09-12 07:15:00', '2010-09-12 07:30:00',
               '2010-09-12 07:45:00', '2010-09-12 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00', '2010-09-10 22:30:00',
               '2010-09-10 22:45:00', '2010-09-10 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-9-1T00 to 2010-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-09-01 00:00:00', '2010-09-01 00:15:00',
               '2010-09-01 00:30:00', '2010-09-01 00:45:00',
               '2010-09-01 01:00:00', '2010-09-01 01:15:00',
               '2010-09-01 01:30:00', '2010-09-01 01:45:00',
               '2010-09-01 02:00:00', '2010-09-01 02:15:00',
               '2010-09-01 02:30:00', '2010-09-01 02:45:00',
               '2010-09-01 03:00:00', '2010-09-01 03:15:00',
               '2010-09-01 03:30:00', '2010-09-01 03:45:00',
               '2010-09-01 04:00:00', '2010-09-01 04:15:00',
               '2010-09-01 04:30:00', '2010-09-01 04:45:00',
               '2010-09-01 05:00:00', '2010-09-01 05:15:00',
               '2010-09-01 05:30:00', '2010-09-01 05:45:00',
               '2010-09-01 06:00:00', '2010-09-01 06:15:00',
               '2010-09-01 06:30:00', '2010-09-01 06:45:00',
               '2010-09-01 07:00:00', '2010-09-01 07:15:00',
               '2010-09-01 07:30:00', '2010-09-01 07:45:00',
               '2010-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-9-1T00 to 2010-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00', '2010-10-31 07:45:00',
               '2010-10-31 08:00:00', '2010-10-31 08:15:00',
               '2010-10-31 08:30:00', '2010-10-31 08:45:00',
               '2010-10-31 09:00:00', '2010-10-31 09:15:00',
               '2010-10-31 09:30:00', '2010-10-31 09:45:00',
               '2010-10-31 10:00:00', '2010-10-31 10:15:00',
               '2010-10-31 10:30:00', '2010-10-31 10:45:00',
               '2010-10-31 11:00:00', '2010-10-31 11:15:00',
               '2010-10-31 11:30:00', '2010-10-31 11:45:00',
               '2010-10-31 12:00:00', '2010-10-31 12:15:00',
               '2010-10-31 12:30:00', '2010-10-31 12:45:00',
               '2010-10-31 13:00:00', '2010-10-31 13:15:00',
               '2010-10-31 13:30:00', '2010-10-31 13:45:00',
               '2010-10-31 14:00:00', '2010-10-31 14:15:00',
               '2010-10-31 14:30:00', '2010-10-31 14:45:00',
               '2010-10-31 15:00:00', '2010-10-31 15:15:00',
               '2010-10-31 15:30:00', '2010-10-31 15:45:00',
               '2010-10-31 16:00:00', '2010-10-31 16:15:00',
               '2010-10-31 16:30:00', '2010-10-31 16:45:00',
               '2010-10-31 17:00:00', '2010-10-31 17:15:00',
               '2010-10-31 17:30:00', '2010-10-31 17:45:00',
               '2010-10-31 18:00:00', '2010-10-31 18:15:00',
               '2010-10-31 18:30:00', '2010-10-31 18:45:00',
               '2010-10-31 19:00:00', '2010-10-31 19:15:00',
               '2010-10-31 19:30:00', '2010-10-31 19:45:00',
               '2010-10-31 20:00:00', '2010-10-31 20:15:00',
               '2010-10-31 20:30:00', '2010-10-31 20:45:00',
               '2010-10-31 21:00:00', '2010-10-31 21:15:00',
               '2010-10-31 21:30:00', '2010-10-31 21:45:00',
               '2010-10-31 22:00:00', '2010-10-31 22:15:00',
               '2010-10-31 22:30:00', '2010-10-31 22:45:00',
               '2010-10-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               ...
               '2010-10-31 20:45:00', '2010-10-31 21:00:00',
               '2010-10-31 21:15:00', '2010-10-31 21:30:00',
               '2010-10-31 21:45:00', '2010-10-31 22:00:00',
               '2010-10-31 22:15:00', '2010-10-31 22:30:00',
               '2010-10-31 22:45:00', '2010-10-31 23:00:00'],
              dtype='datetime64[ns]', length=872, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               ...
               '2010-10-11 05:45:00', '2010-10-11 06:00:00',
               '2010-10-11 06:15:00', '2010-10-11 06:30:00',
               '2010-10-11 06:45:00', '2010-10-11 07:00:00',
               '2010-10-11 07:15:00', '2010-10-11 07:30:00',
               '2010-10-11 07:45:00', '2010-10-11 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00', '2010-10-07 22:30:00',
               '2010-10-07 22:45:00', '2010-10-07 23:00:00',
               '2010-10-07 23:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               ...
               '2010-10-31 20:45:00', '2010-10-31 21:00:00',
               '2010-10-31 21:15:00', '2010-10-31 21:30:00',
               '2010-10-31 21:45:00', '2010-10-31 22:00:00',
               '2010-10-31 22:15:00', '2010-10-31 22:30:00',
               '2010-10-31 22:45:00', '2010-10-31 23:00:00'],
              dtype='datetime64[ns]', length=481, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-10-1T00 to 2010-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-10-01 00:00:00', '2010-10-01 00:15:00',
               '2010-10-01 00:30:00', '2010-10-01 00:45:00',
               '2010-10-01 01:00:00', '2010-10-01 01:15:00',
               '2010-10-01 01:30:00', '2010-10-01 01:45:00',
               '2010-10-01 02:00:00', '2010-10-01 02:15:00',
               '2010-10-01 02:30:00', '2010-10-01 02:45:00',
               '2010-10-01 03:00:00', '2010-10-01 03:15:00',
               '2010-10-01 03:30:00', '2010-10-01 03:45:00',
               '2010-10-01 04:00:00', '2010-10-01 04:15:00',
               '2010-10-01 04:30:00', '2010-10-01 04:45:00',
               '2010-10-01 05:00:00', '2010-10-01 05:15:00',
               '2010-10-01 05:30:00', '2010-10-01 05:45:00',
               '2010-10-01 06:00:00', '2010-10-01 06:15:00',
               '2010-10-01 06:30:00', '2010-10-01 06:45:00',
               '2010-10-01 07:00:00', '2010-10-01 07:15:00',
               '2010-10-01 07:30:00', '2010-10-01 07:45:00',
               '2010-10-01 08:00:00', '2010-10-01 08:15:00',
               '2010-10-01 08:30:00', '2010-10-01 08:45:00',
               '2010-10-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-10-1T00 to 2010-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.27, max INDEP value is 7.15
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-10 09:00:00', '2010-11-10 09:15:00',
               '2010-11-10 09:30:00', '2010-11-10 09:45:00',
               '2010-11-10 10:00:00', '2010-11-10 10:15:00',
               '2010-11-10 10:30:00', '2010-11-10 10:45:00',
               '2010-11-10 11:00:00', '2010-11-10 11:15:00',
               ...
               '2010-11-27 06:30:00', '2010-11-27 06:45:00',
               '2010-11-27 07:00:00', '2010-11-27 07:15:00',
               '2010-11-27 07:30:00', '2010-11-27 07:45:00',
               '2010-11-27 08:00:00', '2010-11-27 08:15:00',
               '2010-11-27 08:30:00', '2010-11-27 08:45:00'],
              dtype='datetime64[ns]', length=1632, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=378, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-16 09:00:00', '2010-11-16 09:15:00',
               '2010-11-16 09:30:00', '2010-11-16 09:45:00',
               '2010-11-16 10:00:00', '2010-11-16 10:15:00',
               '2010-11-16 10:30:00', '2010-11-16 10:45:00',
               '2010-11-16 11:00:00', '2010-11-16 11:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1401, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               ...
               '2010-11-15 06:45:00', '2010-11-15 07:00:00',
               '2010-11-15 07:15:00', '2010-11-15 07:30:00',
               '2010-11-15 07:45:00', '2010-11-15 08:00:00',
               '2010-11-15 08:15:00', '2010-11-15 08:30:00',
               '2010-11-15 08:45:00', '2010-11-15 09:00:00'],
              dtype='datetime64[ns]', length=803, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-16 09:00:00', '2010-11-16 09:15:00',
               '2010-11-16 09:30:00', '2010-11-16 09:45:00',
               '2010-11-16 10:00:00', '2010-11-16 10:15:00',
               '2010-11-16 10:30:00', '2010-11-16 10:45:00',
               '2010-11-16 11:00:00', '2010-11-16 11:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1401, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               '2010-11-01 02:30:00', '2010-11-01 02:45:00',
               '2010-11-01 03:00:00', '2010-11-01 03:15:00',
               '2010-11-01 03:30:00', '2010-11-01 03:45:00',
               '2010-11-01 04:00:00', '2010-11-01 04:15:00',
               '2010-11-01 04:30:00', '2010-11-01 04:45:00',
               '2010-11-01 05:00:00', '2010-11-01 05:15:00',
               '2010-11-01 05:30:00', '2010-11-01 05:45:00',
               '2010-11-01 06:00:00', '2010-11-01 06:15:00',
               '2010-11-01 06:30:00', '2010-11-01 06:45:00',
               '2010-11-01 07:00:00', '2010-11-01 07:15:00',
               '2010-11-01 07:30:00', '2010-11-01 07:45:00',
               '2010-11-01 08:00:00', '2010-11-02 13:00:00',
               '2010-11-02 13:15:00', '2010-11-02 13:30:00',
               '2010-11-02 13:45:00', '2010-11-02 14:00:00',
               '2010-11-02 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               '2010-11-01 02:30:00', '2010-11-01 02:45:00',
               '2010-11-01 03:00:00', '2010-11-01 03:15:00',
               '2010-11-01 03:30:00', '2010-11-01 03:45:00',
               '2010-11-01 04:00:00', '2010-11-01 04:15:00',
               '2010-11-01 04:30:00', '2010-11-01 04:45:00',
               '2010-11-01 05:00:00', '2010-11-01 05:15:00',
               '2010-11-01 05:30:00', '2010-11-01 05:45:00',
               '2010-11-01 06:00:00', '2010-11-01 06:15:00',
               '2010-11-01 06:30:00', '2010-11-01 06:45:00',
               '2010-11-01 07:00:00', '2010-11-01 07:15:00',
               '2010-11-01 07:30:00', '2010-11-01 07:45:00',
               '2010-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=769, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.67, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-16 09:00:00', '2010-11-16 09:15:00',
               '2010-11-16 09:30:00', '2010-11-16 09:45:00',
               '2010-11-16 10:00:00', '2010-11-16 10:15:00',
               '2010-11-16 10:30:00', '2010-11-16 10:45:00',
               '2010-11-16 11:00:00', '2010-11-16 11:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1401, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               '2010-11-01 02:30:00', '2010-11-01 02:45:00',
               '2010-11-01 03:00:00', '2010-11-01 03:15:00',
               '2010-11-01 03:30:00', '2010-11-01 03:45:00',
               '2010-11-01 04:00:00', '2010-11-01 04:15:00',
               '2010-11-01 04:30:00', '2010-11-01 04:45:00',
               '2010-11-01 05:00:00', '2010-11-01 05:15:00',
               '2010-11-01 05:30:00', '2010-11-01 05:45:00',
               '2010-11-01 06:00:00', '2010-11-01 06:15:00',
               '2010-11-01 06:30:00', '2010-11-01 06:45:00',
               '2010-11-01 07:00:00', '2010-11-01 07:15:00',
               '2010-11-01 07:30:00', '2010-11-01 07:45:00',
               '2010-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=573, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-13 09:00:00', '2010-11-13 09:15:00',
               '2010-11-13 09:30:00', '2010-11-13 09:45:00',
               '2010-11-13 10:00:00', '2010-11-13 10:15:00',
               '2010-11-13 10:30:00', '2010-11-13 10:45:00',
               '2010-11-13 11:00:00', '2010-11-13 11:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1689, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               '2010-11-01 02:30:00', '2010-11-01 02:45:00',
               '2010-11-01 03:00:00', '2010-11-01 03:15:00',
               '2010-11-01 03:30:00', '2010-11-01 03:45:00',
               '2010-11-01 04:00:00', '2010-11-01 04:15:00',
               '2010-11-01 04:30:00', '2010-11-01 04:45:00',
               '2010-11-01 05:00:00', '2010-11-01 05:15:00',
               '2010-11-01 05:30:00', '2010-11-01 05:45:00',
               '2010-11-01 06:00:00', '2010-11-01 06:15:00',
               '2010-11-01 06:30:00', '2010-11-01 06:45:00',
               '2010-11-01 07:00:00', '2010-11-01 07:15:00',
               '2010-11-01 07:30:00', '2010-11-01 07:45:00',
               '2010-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15292000.
{L:132} min data value: 4.08, min INDEP value is 4.5
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-06 08:00:00', '2010-11-06 08:15:00',
               '2010-11-06 08:30:00', '2010-11-06 08:45:00',
               '2010-11-06 09:00:00', '2010-11-06 09:15:00',
               '2010-11-06 09:30:00', '2010-11-06 09:45:00',
               '2010-11-06 10:00:00', '2010-11-06 10:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2365, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               ...
               '2010-11-05 05:45:00', '2010-11-05 06:00:00',
               '2010-11-05 06:15:00', '2010-11-05 06:30:00',
               '2010-11-05 06:45:00', '2010-11-05 07:00:00',
               '2010-11-05 07:15:00', '2010-11-05 07:30:00',
               '2010-11-05 07:45:00', '2010-11-05 08:00:00'],
              dtype='datetime64[ns]', length=417, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-11-1T00 to 2010-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-10 09:00:00', '2010-11-10 09:15:00',
               '2010-11-10 09:30:00', '2010-11-10 09:45:00',
               '2010-11-10 10:00:00', '2010-11-10 10:15:00',
               '2010-11-10 10:30:00', '2010-11-10 10:45:00',
               '2010-11-10 11:00:00', '2010-11-10 11:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               ...
               '2010-11-03 05:45:00', '2010-11-03 06:00:00',
               '2010-11-03 06:15:00', '2010-11-03 06:30:00',
               '2010-11-03 06:45:00', '2010-11-03 07:00:00',
               '2010-11-03 07:15:00', '2010-11-03 07:30:00',
               '2010-11-03 07:45:00', '2010-11-03 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2010-11-18 09:00:00', '2010-11-18 09:15:00',
               '2010-11-18 09:30:00', '2010-11-18 09:45:00',
               '2010-11-18 10:00:00', '2010-11-18 10:15:00',
               '2010-11-18 10:30:00', '2010-11-18 10:45:00',
               '2010-11-18 11:00:00', '2010-11-18 11:15:00',
               ...
               '2010-11-30 20:45:00', '2010-11-30 21:00:00',
               '2010-11-30 21:15:00', '2010-11-30 21:30:00',
               '2010-11-30 21:45:00', '2010-11-30 22:00:00',
               '2010-11-30 22:15:00', '2010-11-30 22:30:00',
               '2010-11-30 22:45:00', '2010-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1209, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               '2010-11-01 02:30:00', '2010-11-01 02:45:00',
               '2010-11-01 03:00:00', '2010-11-01 03:15:00',
               '2010-11-01 03:30:00', '2010-11-01 03:45:00',
               '2010-11-01 04:00:00', '2010-11-01 04:15:00',
               '2010-11-01 04:30:00', '2010-11-01 04:45:00',
               '2010-11-01 05:00:00', '2010-11-01 05:15:00',
               '2010-11-01 05:30:00', '2010-11-01 05:45:00',
               '2010-11-01 06:00:00', '2010-11-01 06:15:00',
               '2010-11-01 06:30:00', '2010-11-01 06:45:00',
               '2010-11-01 07:00:00', '2010-11-01 07:15:00',
               '2010-11-01 07:30:00', '2010-11-01 07:45:00',
               '2010-11-01 08:00:00', '2010-11-07 08:00:00',
               '2010-11-07 08:15:00', '2010-11-07 08:30:00',
               '2010-11-07 08:45:00', '2010-11-07 09:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-11-01 00:00:00', '2010-11-01 00:15:00',
               '2010-11-01 00:30:00', '2010-11-01 00:45:00',
               '2010-11-01 01:00:00', '2010-11-01 01:15:00',
               '2010-11-01 01:30:00', '2010-11-01 01:45:00',
               '2010-11-01 02:00:00', '2010-11-01 02:15:00',
               '2010-11-01 02:30:00', '2010-11-01 02:45:00',
               '2010-11-01 03:00:00', '2010-11-01 03:15:00',
               '2010-11-01 03:30:00', '2010-11-01 03:45:00',
               '2010-11-01 04:00:00', '2010-11-01 04:15:00',
               '2010-11-01 04:30:00', '2010-11-01 04:45:00',
               '2010-11-01 05:00:00', '2010-11-01 05:15:00',
               '2010-11-01 05:30:00', '2010-11-01 05:45:00',
               '2010-11-01 06:00:00', '2010-11-01 06:15:00',
               '2010-11-01 06:30:00', '2010-11-01 06:45:00',
               '2010-11-01 07:00:00', '2010-11-01 07:15:00',
               '2010-11-01 07:30:00', '2010-11-01 07:45:00',
               '2010-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-11-1T00 to 2010-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 9.23, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-12-01 00:00:00', '2010-12-01 00:15:00',
               '2010-12-01 00:30:00', '2010-12-01 00:45:00',
               '2010-12-01 01:00:00', '2010-12-01 01:15:00',
               '2010-12-01 01:30:00', '2010-12-01 01:45:00',
               '2010-12-01 02:00:00', '2010-12-01 02:15:00',
               ...
               '2010-12-26 06:30:00', '2010-12-26 06:45:00',
               '2010-12-26 07:00:00', '2010-12-26 07:15:00',
               '2010-12-26 07:30:00', '2010-12-26 07:45:00',
               '2010-12-26 08:00:00', '2010-12-26 08:15:00',
               '2010-12-26 08:30:00', '2010-12-26 08:45:00'],
              dtype='datetime64[ns]', length=2436, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-12-01 00:00:00', '2010-12-01 00:15:00',
               '2010-12-01 00:30:00', '2010-12-01 00:45:00',
               '2010-12-01 01:00:00', '2010-12-01 01:15:00',
               '2010-12-01 01:30:00', '2010-12-01 01:45:00',
               '2010-12-01 02:00:00', '2010-12-01 02:15:00',
               ...
               '2010-12-20 06:45:00', '2010-12-20 07:00:00',
               '2010-12-20 07:15:00', '2010-12-20 07:30:00',
               '2010-12-20 07:45:00', '2010-12-20 08:00:00',
               '2010-12-20 08:15:00', '2010-12-20 08:30:00',
               '2010-12-20 08:45:00', '2010-12-20 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2010-12-10 09:00:00', '2010-12-10 09:15:00',
               '2010-12-10 09:30:00', '2010-12-10 09:45:00',
               '2010-12-10 10:00:00', '2010-12-10 10:15:00',
               '2010-12-10 10:30:00', '2010-12-10 10:45:00',
               '2010-12-10 11:00:00', '2010-12-10 11:15:00',
               ...
               '2010-12-31 20:45:00', '2010-12-31 21:00:00',
               '2010-12-31 21:15:00', '2010-12-31 21:30:00',
               '2010-12-31 21:45:00', '2010-12-31 22:00:00',
               '2010-12-31 22:15:00', '2010-12-31 22:30:00',
               '2010-12-31 22:45:00', '2010-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2073, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-12-01 00:00:00', '2010-12-01 00:15:00',
               '2010-12-01 00:30:00', '2010-12-01 00:45:00',
               '2010-12-01 01:00:00', '2010-12-01 01:15:00',
               '2010-12-01 01:30:00', '2010-12-01 01:45:00',
               '2010-12-01 02:00:00', '2010-12-01 02:15:00',
               ...
               '2010-12-08 06:45:00', '2010-12-08 07:00:00',
               '2010-12-08 07:15:00', '2010-12-08 07:30:00',
               '2010-12-08 07:45:00', '2010-12-08 08:00:00',
               '2010-12-08 08:15:00', '2010-12-08 08:30:00',
               '2010-12-08 08:45:00', '2010-12-08 09:00:00'],
              dtype='datetime64[ns]', length=709, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2010-12-1T00 to 2010-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-12-01 00:00:00', '2010-12-01 00:15:00',
               '2010-12-01 00:30:00', '2010-12-01 00:45:00',
               '2010-12-01 01:00:00', '2010-12-01 01:15:00',
               '2010-12-01 01:30:00', '2010-12-01 01:45:00',
               '2010-12-01 02:00:00', '2010-12-01 02:15:00',
               '2010-12-01 02:30:00', '2010-12-01 02:45:00',
               '2010-12-01 03:00:00', '2010-12-01 03:15:00',
               '2010-12-01 03:30:00', '2010-12-01 03:45:00',
               '2010-12-01 04:00:00', '2010-12-01 04:15:00',
               '2010-12-01 04:30:00', '2010-12-01 04:45:00',
               '2010-12-01 05:00:00', '2010-12-01 05:15:00',
               '2010-12-01 05:30:00', '2010-12-01 05:45:00',
               '2010-12-01 06:00:00', '2010-12-01 06:15:00',
               '2010-12-01 06:30:00', '2010-12-01 06:45:00',
               '2010-12-01 07:00:00', '2010-12-01 07:15:00',
               '2010-12-01 07:30:00', '2010-12-01 07:45:00',
               '2010-12-01 08:00:00', '2010-12-01 08:15:00',
               '2010-12-01 08:30:00', '2010-12-01 08:45:00',
               '2010-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2010-12-01 00:00:00', '2010-12-01 00:15:00',
               '2010-12-01 00:30:00', '2010-12-01 00:45:00',
               '2010-12-01 01:00:00', '2010-12-01 01:15:00',
               '2010-12-01 01:30:00', '2010-12-01 01:45:00',
               '2010-12-01 02:00:00', '2010-12-01 02:15:00',
               '2010-12-01 02:30:00', '2010-12-01 02:45:00',
               '2010-12-01 03:00:00', '2010-12-01 03:15:00',
               '2010-12-01 03:30:00', '2010-12-01 03:45:00',
               '2010-12-01 04:00:00', '2010-12-01 04:15:00',
               '2010-12-01 04:30:00', '2010-12-01 04:45:00',
               '2010-12-01 05:00:00', '2010-12-01 05:15:00',
               '2010-12-01 05:30:00', '2010-12-01 05:45:00',
               '2010-12-01 06:00:00', '2010-12-01 06:15:00',
               '2010-12-01 06:30:00', '2010-12-01 06:45:00',
               '2010-12-01 07:00:00', '2010-12-01 07:15:00',
               '2010-12-01 07:30:00', '2010-12-01 07:45:00',
               '2010-12-01 08:00:00', '2010-12-01 08:15:00',
               '2010-12-01 08:30:00', '2010-12-01 08:45:00',
               '2010-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2010-12-1T00 to 2010-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2011

year = 2011
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 13.76, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-01-19 01:45:00', '2011-01-19 02:00:00',
               '2011-01-19 02:15:00', '2011-01-19 02:30:00',
               '2011-01-19 02:45:00', '2011-01-19 03:00:00',
               '2011-01-19 03:15:00', '2011-01-19 03:30:00',
               '2011-01-19 03:45:00', '2011-01-19 04:00:00',
               ...
               '2011-01-26 12:00:00', '2011-01-26 12:15:00',
               '2011-01-26 12:30:00', '2011-01-26 12:45:00',
               '2011-01-26 13:00:00', '2011-01-26 13:15:00',
               '2011-01-26 13:30:00', '2011-01-26 13:45:00',
               '2011-01-26 14:00:00', '2011-01-26 14:15:00'],
              dtype='datetime64[ns]', length=723, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-01-14 09:00:00', '2011-01-14 09:15:00',
               '2011-01-14 09:30:00', '2011-01-14 09:45:00',
               '2011-01-14 10:00:00', '2011-01-14 10:15:00',
               '2011-01-14 10:30:00', '2011-01-14 10:45:00',
               '2011-01-14 11:00:00', '2011-01-14 11:15:00',
               ...
               '2011-01-28 06:30:00', '2011-01-28 06:45:00',
               '2011-01-28 07:00:00', '2011-01-28 07:15:00',
               '2011-01-28 07:30:00', '2011-01-28 07:45:00',
               '2011-01-28 08:00:00', '2011-01-28 08:15:00',
               '2011-01-28 08:30:00', '2011-01-28 08:45:00'],
              dtype='datetime64[ns]', length=1344, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-01-01 00:00:00', '2011-01-01 00:15:00',
               '2011-01-01 00:30:00', '2011-01-01 00:45:00',
               '2011-01-01 01:00:00', '2011-01-01 01:15:00',
               '2011-01-01 01:30:00', '2011-01-01 01:45:00',
               '2011-01-01 02:00:00', '2011-01-01 02:15:00',
               ...
               '2011-01-12 06:45:00', '2011-01-12 07:00:00',
               '2011-01-12 07:15:00', '2011-01-12 07:30:00',
               '2011-01-12 07:45:00', '2011-01-12 08:00:00',
               '2011-01-12 08:15:00', '2011-01-12 08:30:00',
               '2011-01-12 08:45:00', '2011-01-12 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-01-01 00:00:00', '2011-01-01 00:15:00',
               '2011-01-01 00:30:00', '2011-01-01 00:45:00',
               '2011-01-01 01:00:00', '2011-01-01 01:15:00',
               '2011-01-01 01:30:00', '2011-01-01 01:45:00',
               '2011-01-01 02:00:00', '2011-01-01 02:15:00',
               '2011-01-01 02:30:00', '2011-01-01 02:45:00',
               '2011-01-01 03:00:00', '2011-01-01 03:15:00',
               '2011-01-01 03:30:00', '2011-01-01 03:45:00',
               '2011-01-01 04:00:00', '2011-01-01 04:15:00',
               '2011-01-01 04:30:00', '2011-01-01 04:45:00',
               '2011-01-01 05:00:00', '2011-01-01 05:15:00',
               '2011-01-01 05:30:00', '2011-01-01 05:45:00',
               '2011-01-01 06:00:00', '2011-01-01 06:15:00',
               '2011-01-01 06:30:00', '2011-01-01 06:45:00',
               '2011-01-01 07:00:00', '2011-01-01 07:15:00',
               '2011-01-01 07:30:00', '2011-01-01 07:45:00',
               '2011-01-01 08:00:00', '2011-01-01 08:15:00',
               '2011-01-01 08:30:00', '2011-01-01 08:45:00',
               '2011-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-01-07 09:00:00', '2011-01-07 09:15:00',
               '2011-01-07 09:30:00', '2011-01-07 09:45:00',
               '2011-01-07 10:00:00', '2011-01-07 10:15:00',
               '2011-01-07 10:30:00', '2011-01-07 10:45:00',
               '2011-01-07 11:00:00', '2011-01-07 11:15:00',
               ...
               '2011-01-30 06:30:00', '2011-01-30 06:45:00',
               '2011-01-30 07:00:00', '2011-01-30 07:15:00',
               '2011-01-30 07:30:00', '2011-01-30 07:45:00',
               '2011-01-30 08:00:00', '2011-01-30 08:15:00',
               '2011-01-30 08:30:00', '2011-01-30 08:45:00'],
              dtype='datetime64[ns]', length=2208, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-01-01 00:00:00', '2011-01-01 00:15:00',
               '2011-01-01 00:30:00', '2011-01-01 00:45:00',
               '2011-01-01 01:00:00', '2011-01-01 01:15:00',
               '2011-01-01 01:30:00', '2011-01-01 01:45:00',
               '2011-01-01 02:00:00', '2011-01-01 02:15:00',
               ...
               '2011-01-06 06:45:00', '2011-01-06 07:00:00',
               '2011-01-06 07:15:00', '2011-01-06 07:30:00',
               '2011-01-06 07:45:00', '2011-01-06 08:00:00',
               '2011-01-06 08:15:00', '2011-01-06 08:30:00',
               '2011-01-06 08:45:00', '2011-01-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.6, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-1-1T00 to 2011-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-01-01 00:00:00', '2011-01-01 00:15:00',
               '2011-01-01 00:30:00', '2011-01-01 00:45:00',
               '2011-01-01 01:00:00', '2011-01-01 01:15:00',
               '2011-01-01 01:30:00', '2011-01-01 01:45:00',
               '2011-01-01 02:00:00', '2011-01-01 02:15:00',
               '2011-01-01 02:30:00', '2011-01-01 02:45:00',
               '2011-01-01 03:00:00', '2011-01-01 03:15:00',
               '2011-01-01 03:30:00', '2011-01-01 03:45:00',
               '2011-01-01 04:00:00', '2011-01-01 04:15:00',
               '2011-01-01 04:30:00', '2011-01-01 04:45:00',
               '2011-01-01 05:00:00', '2011-01-01 05:15:00',
               '2011-01-01 05:30:00', '2011-01-01 05:45:00',
               '2011-01-01 06:00:00', '2011-01-01 06:15:00',
               '2011-01-01 06:30:00', '2011-01-01 06:45:00',
               '2011-01-01 07:00:00', '2011-01-01 07:15:00',
               '2011-01-01 07:30:00', '2011-01-01 07:45:00',
               '2011-01-01 08:00:00', '2011-01-01 08:15:00',
               '2011-01-01 08:30:00', '2011-01-01 08:45:00',
               '2011-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-01-01 00:00:00', '2011-01-01 00:15:00',
               '2011-01-01 00:30:00', '2011-01-01 00:45:00',
               '2011-01-01 01:00:00', '2011-01-01 01:15:00',
               '2011-01-01 01:30:00', '2011-01-01 01:45:00',
               '2011-01-01 02:00:00', '2011-01-01 02:15:00',
               '2011-01-01 02:30:00', '2011-01-01 02:45:00',
               '2011-01-01 03:00:00', '2011-01-01 03:15:00',
               '2011-01-01 03:30:00', '2011-01-01 03:45:00',
               '2011-01-01 04:00:00', '2011-01-01 04:15:00',
               '2011-01-01 04:30:00', '2011-01-01 04:45:00',
               '2011-01-01 05:00:00', '2011-01-01 05:15:00',
               '2011-01-01 05:30:00', '2011-01-01 05:45:00',
               '2011-01-01 06:00:00', '2011-01-01 06:15:00',
               '2011-01-01 06:30:00', '2011-01-01 06:45:00',
               '2011-01-01 07:00:00', '2011-01-01 07:15:00',
               '2011-01-01 07:30:00', '2011-01-01 07:45:00',
               '2011-01-01 08:00:00', '2011-01-01 08:15:00',
               '2011-01-01 08:30:00', '2011-01-01 08:45:00',
               '2011-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-1-1T00 to 2011-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 17.91, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-02-01 00:00:00', '2011-02-01 00:15:00',
               '2011-02-01 00:30:00', '2011-02-01 00:45:00',
               '2011-02-01 01:00:00', '2011-02-01 01:15:00',
               '2011-02-01 01:30:00', '2011-02-01 01:45:00',
               '2011-02-01 02:00:00', '2011-02-01 02:15:00',
               ...
               '2011-02-28 20:45:00', '2011-02-28 21:00:00',
               '2011-02-28 21:15:00', '2011-02-28 21:30:00',
               '2011-02-28 21:45:00', '2011-02-28 22:00:00',
               '2011-02-28 22:15:00', '2011-02-28 22:30:00',
               '2011-02-28 22:45:00', '2011-02-28 23:00:00'],
              dtype='datetime64[ns]', length=388, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-02-01 00:00:00', '2011-02-01 00:15:00',
               '2011-02-01 00:30:00', '2011-02-01 00:45:00',
               '2011-02-01 01:00:00', '2011-02-01 01:15:00',
               '2011-02-01 01:30:00', '2011-02-01 01:45:00',
               '2011-02-01 02:00:00', '2011-02-01 02:15:00',
               ...
               '2011-02-20 07:45:00', '2011-02-20 08:00:00',
               '2011-02-20 08:15:00', '2011-02-20 08:30:00',
               '2011-02-20 08:45:00', '2011-02-20 09:00:00',
               '2011-02-24 01:00:00', '2011-02-24 01:15:00',
               '2011-02-24 01:30:00', '2011-02-24 01:45:00'],
              dtype='datetime64[ns]', length=139, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-02-11 09:00:00', '2011-02-11 09:15:00',
               '2011-02-11 09:30:00', '2011-02-11 09:45:00',
               '2011-02-11 10:00:00', '2011-02-11 10:15:00',
               '2011-02-11 10:30:00', '2011-02-11 10:45:00',
               '2011-02-11 11:00:00', '2011-02-11 11:15:00',
               ...
               '2011-02-28 20:45:00', '2011-02-28 21:00:00',
               '2011-02-28 21:15:00', '2011-02-28 21:30:00',
               '2011-02-28 21:45:00', '2011-02-28 22:00:00',
               '2011-02-28 22:15:00', '2011-02-28 22:30:00',
               '2011-02-28 22:45:00', '2011-02-28 23:00:00'],
              dtype='datetime64[ns]', length=1689, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-02-01 00:00:00', '2011-02-01 00:15:00',
               '2011-02-01 00:30:00', '2011-02-01 00:45:00',
               '2011-02-01 01:00:00', '2011-02-01 01:15:00',
               '2011-02-01 01:30:00', '2011-02-01 01:45:00',
               '2011-02-01 02:00:00', '2011-02-01 02:15:00',
               ...
               '2011-02-07 06:45:00', '2011-02-07 07:00:00',
               '2011-02-07 07:15:00', '2011-02-07 07:30:00',
               '2011-02-07 07:45:00', '2011-02-07 08:00:00',
               '2011-02-07 08:15:00', '2011-02-07 08:30:00',
               '2011-02-07 08:45:00', '2011-02-07 09:00:00'],
              dtype='datetime64[ns]', length=327, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.5, min INDEP value is 1.75
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-2-1T00 to 2011-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-02-01 00:00:00', '2011-02-01 00:15:00',
               '2011-02-01 00:30:00', '2011-02-01 00:45:00',
               '2011-02-01 01:00:00', '2011-02-01 01:15:00',
               '2011-02-01 01:30:00', '2011-02-01 01:45:00',
               '2011-02-01 02:00:00', '2011-02-01 02:15:00',
               ...
               '2011-02-18 06:45:00', '2011-02-18 07:00:00',
               '2011-02-18 07:15:00', '2011-02-18 07:30:00',
               '2011-02-18 07:45:00', '2011-02-18 08:00:00',
               '2011-02-18 08:15:00', '2011-02-18 08:30:00',
               '2011-02-18 08:45:00', '2011-02-18 09:00:00'],
              dtype='datetime64[ns]', length=135, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-02-01 00:00:00', '2011-02-01 00:15:00',
               '2011-02-01 00:30:00', '2011-02-01 00:45:00',
               '2011-02-01 01:00:00', '2011-02-01 01:15:00',
               '2011-02-01 01:30:00', '2011-02-01 01:45:00',
               '2011-02-01 02:00:00', '2011-02-01 02:15:00',
               '2011-02-01 02:30:00', '2011-02-01 02:45:00',
               '2011-02-01 03:00:00', '2011-02-01 03:15:00',
               '2011-02-01 03:30:00', '2011-02-01 03:45:00',
               '2011-02-01 04:00:00', '2011-02-01 04:15:00',
               '2011-02-01 04:30:00', '2011-02-01 04:45:00',
               '2011-02-01 05:00:00', '2011-02-01 05:15:00',
               '2011-02-01 05:30:00', '2011-02-01 05:45:00',
               '2011-02-01 06:00:00', '2011-02-01 06:15:00',
               '2011-02-01 06:30:00', '2011-02-01 06:45:00',
               '2011-02-01 07:00:00', '2011-02-01 07:15:00',
               '2011-02-01 07:30:00', '2011-02-01 07:45:00',
               '2011-02-01 08:00:00', '2011-02-01 08:15:00',
               '2011-02-01 08:30:00', '2011-02-01 08:45:00',
               '2011-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-2-1T00 to 2011-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 15.46, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2011-03-04 07:00:00', '2011-03-04 07:15:00',
               '2011-03-04 07:30:00', '2011-03-04 07:45:00',
               '2011-03-04 08:00:00', '2011-03-04 08:15:00',
               '2011-03-04 08:30:00', '2011-03-04 08:45:00',
               '2011-03-04 09:00:00', '2011-03-04 09:15:00',
               ...
               '2011-03-17 07:30:00', '2011-03-17 07:45:00',
               '2011-03-17 08:00:00', '2011-03-17 08:15:00',
               '2011-03-17 08:30:00', '2011-03-17 08:45:00',
               '2011-03-17 09:00:00', '2011-03-17 09:15:00',
               '2011-03-17 09:30:00', '2011-03-17 09:45:00'],
              dtype='datetime64[ns]', length=1260, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-03-01 09:15:00', '2011-03-01 09:30:00',
               '2011-03-01 09:45:00', '2011-03-01 10:00:00',
               '2011-03-01 10:15:00', '2011-03-01 10:30:00',
               '2011-03-01 10:45:00', '2011-03-01 11:00:00',
               '2011-03-01 11:15:00', '2011-03-01 11:30:00',
               ...
               '2011-03-22 05:30:00', '2011-03-22 05:45:00',
               '2011-03-22 06:00:00', '2011-03-22 06:15:00',
               '2011-03-22 06:30:00', '2011-03-22 06:45:00',
               '2011-03-22 07:00:00', '2011-03-22 07:15:00',
               '2011-03-22 07:30:00', '2011-03-22 07:45:00'],
              dtype='datetime64[ns]', length=2011, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               '2011-03-01 02:30:00', '2011-03-01 02:45:00',
               '2011-03-01 03:00:00', '2011-03-01 03:15:00',
               '2011-03-01 03:30:00', '2011-03-01 03:45:00',
               '2011-03-01 04:00:00', '2011-03-01 04:15:00',
               '2011-03-01 04:30:00', '2011-03-01 04:45:00',
               '2011-03-01 05:00:00', '2011-03-01 05:15:00',
               '2011-03-01 05:30:00', '2011-03-01 05:45:00',
               '2011-03-01 06:00:00', '2011-03-01 06:15:00',
               '2011-03-01 06:30:00', '2011-03-01 06:45:00',
               '2011-03-01 07:00:00', '2011-03-01 07:15:00',
               '2011-03-01 07:30:00', '2011-03-01 07:45:00',
               '2011-03-01 08:00:00', '2011-03-01 08:15:00',
               '2011-03-01 08:30:00', '2011-03-01 08:45:00',
               '2011-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               '2011-03-01 02:30:00', '2011-03-01 02:45:00',
               '2011-03-01 03:00:00', '2011-03-01 03:15:00',
               '2011-03-01 03:30:00', '2011-03-01 03:45:00',
               '2011-03-01 04:00:00', '2011-03-01 04:15:00',
               '2011-03-01 04:30:00', '2011-03-01 04:45:00',
               '2011-03-01 05:00:00', '2011-03-01 05:15:00',
               '2011-03-01 05:30:00', '2011-03-01 05:45:00',
               '2011-03-01 06:00:00', '2011-03-01 06:15:00',
               '2011-03-01 06:30:00', '2011-03-01 06:45:00',
               '2011-03-01 07:00:00', '2011-03-01 07:15:00',
               '2011-03-01 07:30:00', '2011-03-01 07:45:00',
               '2011-03-01 08:00:00', '2011-03-01 08:15:00',
               '2011-03-01 08:30:00', '2011-03-01 08:45:00',
               '2011-03-01 09:00:00', '2011-03-24 22:15:00',
               '2011-03-24 22:30:00', '2011-03-24 22:45:00',
               '2011-03-24 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               '2011-03-01 02:30:00', '2011-03-01 02:45:00',
               '2011-03-01 03:00:00', '2011-03-01 03:15:00',
               '2011-03-01 03:30:00', '2011-03-01 03:45:00',
               '2011-03-01 04:00:00', '2011-03-01 04:15:00',
               '2011-03-01 04:30:00', '2011-03-01 04:45:00',
               '2011-03-01 05:00:00', '2011-03-01 05:15:00',
               '2011-03-01 05:30:00', '2011-03-01 05:45:00',
               '2011-03-01 06:00:00', '2011-03-01 06:15:00',
               '2011-03-01 06:30:00', '2011-03-01 06:45:00',
               '2011-03-01 07:00:00', '2011-03-01 07:15:00',
               '2011-03-01 07:30:00', '2011-03-01 07:45:00',
               '2011-03-01 08:00:00', '2011-03-01 08:15:00',
               '2011-03-01 08:30:00', '2011-03-01 08:45:00',
               '2011-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               ...
               '2011-03-24 05:30:00', '2011-03-24 05:45:00',
               '2011-03-24 06:00:00', '2011-03-24 06:15:00',
               '2011-03-24 06:30:00', '2011-03-24 06:45:00',
               '2011-03-24 07:00:00', '2011-03-24 07:15:00',
               '2011-03-24 07:30:00', '2011-03-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.6, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               ...
               '2011-03-24 05:30:00', '2011-03-24 05:45:00',
               '2011-03-24 06:00:00', '2011-03-24 06:15:00',
               '2011-03-24 06:30:00', '2011-03-24 06:45:00',
               '2011-03-24 07:00:00', '2011-03-24 07:15:00',
               '2011-03-24 07:30:00', '2011-03-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-03-30 07:45:00', '2011-03-30 08:00:00',
               '2011-03-30 08:15:00', '2011-03-30 08:30:00',
               '2011-03-30 08:45:00', '2011-03-30 09:00:00',
               '2011-03-30 09:15:00', '2011-03-30 09:30:00',
               '2011-03-30 09:45:00', '2011-03-30 10:00:00',
               ...
               '2011-03-31 20:45:00', '2011-03-31 21:00:00',
               '2011-03-31 21:15:00', '2011-03-31 21:30:00',
               '2011-03-31 21:45:00', '2011-03-31 22:00:00',
               '2011-03-31 22:15:00', '2011-03-31 22:30:00',
               '2011-03-31 22:45:00', '2011-03-31 23:00:00'],
              dtype='datetime64[ns]', length=158, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               ...
               '2011-03-28 05:30:00', '2011-03-28 05:45:00',
               '2011-03-28 06:00:00', '2011-03-28 06:15:00',
               '2011-03-28 06:30:00', '2011-03-28 06:45:00',
               '2011-03-28 07:00:00', '2011-03-28 07:15:00',
               '2011-03-28 07:30:00', '2011-03-28 07:45:00'],
              dtype='datetime64[ns]', length=2624, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-3-1T00 to 2011-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               ...
               '2011-03-29 07:00:00', '2011-03-29 07:15:00',
               '2011-03-29 07:30:00', '2011-03-29 07:45:00',
               '2011-03-29 08:00:00', '2011-03-31 02:15:00',
               '2011-03-31 02:30:00', '2011-03-31 02:45:00',
               '2011-03-31 03:00:00', '2011-03-31 03:15:00'],
              dtype='datetime64[ns]', length=140, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-03-01 00:00:00', '2011-03-01 00:15:00',
               '2011-03-01 00:30:00', '2011-03-01 00:45:00',
               '2011-03-01 01:00:00', '2011-03-01 01:15:00',
               '2011-03-01 01:30:00', '2011-03-01 01:45:00',
               '2011-03-01 02:00:00', '2011-03-01 02:15:00',
               '2011-03-01 02:30:00', '2011-03-01 02:45:00',
               '2011-03-01 03:00:00', '2011-03-01 03:15:00',
               '2011-03-01 03:30:00', '2011-03-01 03:45:00',
               '2011-03-01 04:00:00', '2011-03-01 04:15:00',
               '2011-03-01 04:30:00', '2011-03-01 04:45:00',
               '2011-03-01 05:00:00', '2011-03-01 05:15:00',
               '2011-03-01 05:30:00', '2011-03-01 05:45:00',
               '2011-03-01 06:00:00', '2011-03-01 06:15:00',
               '2011-03-01 06:30:00', '2011-03-01 06:45:00',
               '2011-03-01 07:00:00', '2011-03-01 07:15:00',
               '2011-03-01 07:30:00', '2011-03-01 07:45:00',
               '2011-03-01 08:00:00', '2011-03-01 08:15:00',
               '2011-03-01 08:30:00', '2011-03-01 08:45:00',
               '2011-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-3-1T00 to 2011-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               '2011-04-01 02:30:00', '2011-04-01 02:45:00',
               '2011-04-01 03:00:00', '2011-04-01 03:15:00',
               '2011-04-01 03:30:00', '2011-04-01 03:45:00',
               '2011-04-01 04:00:00', '2011-04-01 04:15:00',
               '2011-04-01 04:30:00', '2011-04-01 04:45:00',
               '2011-04-01 05:00:00', '2011-04-01 05:15:00',
               '2011-04-01 05:30:00', '2011-04-01 05:45:00',
               '2011-04-01 06:00:00', '2011-04-01 06:15:00',
               '2011-04-01 06:30:00', '2011-04-01 06:45:00',
               '2011-04-01 07:00:00', '2011-04-01 07:15:00',
               '2011-04-01 07:30:00', '2011-04-01 07:45:00',
               '2011-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               '2011-04-01 02:30:00', '2011-04-01 02:45:00',
               '2011-04-01 03:00:00', '2011-04-01 03:15:00',
               '2011-04-01 03:30:00', '2011-04-01 03:45:00',
               '2011-04-01 04:00:00', '2011-04-01 04:15:00',
               '2011-04-01 04:30:00', '2011-04-01 04:45:00',
               '2011-04-01 05:00:00', '2011-04-01 05:15:00',
               '2011-04-01 05:30:00', '2011-04-01 05:45:00',
               '2011-04-01 06:00:00', '2011-04-01 06:15:00',
               '2011-04-01 06:30:00', '2011-04-01 06:45:00',
               '2011-04-01 07:00:00', '2011-04-01 07:15:00',
               '2011-04-01 07:30:00', '2011-04-01 07:45:00',
               '2011-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-09 05:30:00', '2011-04-09 05:45:00',
               '2011-04-09 06:00:00', '2011-04-09 06:15:00',
               '2011-04-09 06:30:00', '2011-04-09 06:45:00',
               '2011-04-09 07:00:00', '2011-04-09 07:15:00',
               '2011-04-09 07:30:00', '2011-04-09 07:45:00'],
              dtype='datetime64[ns]', length=800, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               '2011-04-01 02:30:00', '2011-04-01 02:45:00',
               '2011-04-01 03:00:00', '2011-04-01 03:15:00',
               '2011-04-01 03:30:00', '2011-04-01 03:45:00',
               '2011-04-01 04:00:00', '2011-04-01 04:15:00',
               '2011-04-01 04:30:00', '2011-04-01 04:45:00',
               '2011-04-01 05:00:00', '2011-04-01 05:15:00',
               '2011-04-01 05:30:00', '2011-04-01 05:45:00',
               '2011-04-01 06:00:00', '2011-04-01 06:15:00',
               '2011-04-01 06:30:00', '2011-04-01 06:45:00',
               '2011-04-01 07:00:00', '2011-04-01 07:15:00',
               '2011-04-01 07:30:00', '2011-04-01 07:45:00',
               '2011-04-01 08:00:00', '2011-04-01 08:15:00',
               '2011-04-01 08:30:00', '2011-04-01 08:45:00',
               '2011-04-01 09:00:00', '2011-04-01 09:15:00',
               '2011-04-01 09:30:00', '2011-04-01 09:45:00',
               '2011-04-01 10:00:00', '2011-04-01 10:15:00',
               '2011-04-01 10:30:00', '2011-04-01 10:45:00',
               '2011-04-01 11:00:00', '2011-04-01 11:15:00',
               '2011-04-01 11:30:00', '2011-04-01 11:45:00',
               '2011-04-01 12:00:00', '2011-04-01 12:15:00',
               '2011-04-01 12:30:00', '2011-04-01 12:45:00',
               '2011-04-01 13:00:00', '2011-04-01 13:15:00',
               '2011-04-01 13:30:00', '2011-04-01 13:45:00',
               '2011-04-01 14:00:00', '2011-04-01 14:15:00',
               '2011-04-01 14:30:00', '2011-04-01 14:45:00',
               '2011-04-01 15:00:00', '2011-04-01 15:15:00',
               '2011-04-01 15:30:00', '2011-04-01 15:45:00',
               '2011-04-01 16:00:00', '2011-04-01 16:15:00',
               '2011-04-01 16:30:00', '2011-04-01 16:45:00',
               '2011-04-01 17:00:00', '2011-04-01 17:15:00',
               '2011-04-01 17:30:00', '2011-04-01 17:45:00',
               '2011-04-01 18:00:00', '2011-04-01 18:15:00',
               '2011-04-01 18:30:00', '2011-04-01 18:45:00',
               '2011-04-01 19:00:00', '2011-04-01 19:15:00',
               '2011-04-01 19:30:00', '2011-04-01 19:45:00',
               '2011-04-01 20:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-21 05:30:00', '2011-04-21 05:45:00',
               '2011-04-21 06:00:00', '2011-04-21 06:15:00',
               '2011-04-21 06:30:00', '2011-04-21 06:45:00',
               '2011-04-21 07:00:00', '2011-04-21 07:15:00',
               '2011-04-21 07:30:00', '2011-04-21 07:45:00'],
              dtype='datetime64[ns]', length=1952, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-27 21:30:00', '2011-04-27 21:45:00',
               '2011-04-27 22:00:00', '2011-04-27 22:15:00',
               '2011-04-27 23:45:00', '2011-04-28 00:00:00',
               '2011-04-28 00:15:00', '2011-04-30 19:30:00',
               '2011-04-30 19:45:00', '2011-04-30 20:00:00'],
              dtype='datetime64[ns]', length=379, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               '2011-04-01 02:30:00', '2011-04-01 02:45:00',
               '2011-04-01 03:00:00', '2011-04-01 03:15:00',
               '2011-04-01 03:30:00', '2011-04-01 03:45:00',
               '2011-04-01 04:00:00', '2011-04-01 04:15:00',
               '2011-04-01 04:30:00', '2011-04-01 04:45:00',
               '2011-04-01 05:00:00', '2011-04-01 05:15:00',
               '2011-04-01 05:30:00', '2011-04-01 05:45:00',
               '2011-04-01 06:00:00', '2011-04-01 06:15:00',
               '2011-04-01 06:30:00', '2011-04-01 06:45:00',
               '2011-04-01 07:00:00', '2011-04-01 07:15:00',
               '2011-04-01 07:30:00', '2011-04-01 07:45:00',
               '2011-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-04-17 08:00:00', '2011-04-17 08:15:00',
               '2011-04-17 08:30:00', '2011-04-17 08:45:00',
               '2011-04-17 09:00:00', '2011-04-17 09:15:00',
               '2011-04-17 09:30:00', '2011-04-17 09:45:00',
               '2011-04-17 10:00:00', '2011-04-17 10:15:00',
               ...
               '2011-04-27 05:30:00', '2011-04-27 05:45:00',
               '2011-04-27 06:00:00', '2011-04-27 06:15:00',
               '2011-04-27 06:30:00', '2011-04-27 06:45:00',
               '2011-04-27 07:00:00', '2011-04-27 07:15:00',
               '2011-04-27 07:30:00', '2011-04-27 07:45:00'],
              dtype='datetime64[ns]', length=960, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-06 05:45:00', '2011-04-06 06:00:00',
               '2011-04-06 06:15:00', '2011-04-06 06:30:00',
               '2011-04-06 06:45:00', '2011-04-06 07:00:00',
               '2011-04-06 07:15:00', '2011-04-06 07:30:00',
               '2011-04-06 07:45:00', '2011-04-06 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-02 06:30:00', '2011-04-02 06:45:00',
               '2011-04-02 07:00:00', '2011-04-02 07:15:00',
               '2011-04-02 07:30:00', '2011-04-02 07:45:00',
               '2011-04-02 08:00:00', '2011-04-19 20:30:00',
               '2011-04-19 20:45:00', '2011-04-19 21:00:00'],
              dtype='datetime64[ns]', length=132, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-16 05:30:00', '2011-04-16 05:45:00',
               '2011-04-16 06:00:00', '2011-04-16 06:15:00',
               '2011-04-16 06:30:00', '2011-04-16 06:45:00',
               '2011-04-16 07:00:00', '2011-04-16 07:15:00',
               '2011-04-16 07:30:00', '2011-04-16 07:45:00'],
              dtype='datetime64[ns]', length=1472, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               '2011-04-01 02:30:00', '2011-04-01 02:45:00',
               '2011-04-01 03:00:00', '2011-04-01 03:15:00',
               '2011-04-01 03:30:00', '2011-04-01 03:45:00',
               '2011-04-01 04:00:00', '2011-04-01 04:15:00',
               '2011-04-01 04:30:00', '2011-04-01 04:45:00',
               '2011-04-01 05:00:00', '2011-04-01 05:15:00',
               '2011-04-01 05:30:00', '2011-04-01 05:45:00',
               '2011-04-01 06:00:00', '2011-04-01 06:15:00',
               '2011-04-01 06:30:00', '2011-04-01 06:45:00',
               '2011-04-01 07:00:00', '2011-04-01 07:15:00',
               '2011-04-01 07:30:00', '2011-04-01 07:45:00',
               '2011-04-01 08:00:00', '2011-04-06 21:30:00',
               '2011-04-06 21:45:00', '2011-04-06 22:00:00',
               '2011-04-06 22:15:00', '2011-04-06 22:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-4-1T00 to 2011-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-21 05:30:00', '2011-04-21 05:45:00',
               '2011-04-21 06:00:00', '2011-04-21 06:15:00',
               '2011-04-21 06:30:00', '2011-04-21 06:45:00',
               '2011-04-21 07:00:00', '2011-04-21 07:15:00',
               '2011-04-21 07:30:00', '2011-04-21 07:45:00'],
              dtype='datetime64[ns]', length=1952, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               ...
               '2011-04-24 07:30:00', '2011-04-24 07:45:00',
               '2011-04-24 08:00:00', '2011-04-29 22:00:00',
               '2011-04-29 22:15:00', '2011-04-29 22:30:00',
               '2011-04-29 22:45:00', '2011-04-29 23:00:00',
               '2011-04-29 23:15:00', '2011-04-29 23:30:00'],
              dtype='datetime64[ns]', length=138, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-04-01 00:00:00', '2011-04-01 00:15:00',
               '2011-04-01 00:30:00', '2011-04-01 00:45:00',
               '2011-04-01 01:00:00', '2011-04-01 01:15:00',
               '2011-04-01 01:30:00', '2011-04-01 01:45:00',
               '2011-04-01 02:00:00', '2011-04-01 02:15:00',
               '2011-04-01 02:30:00', '2011-04-01 02:45:00',
               '2011-04-01 03:00:00', '2011-04-01 03:15:00',
               '2011-04-01 03:30:00', '2011-04-01 03:45:00',
               '2011-04-01 04:00:00', '2011-04-01 04:15:00',
               '2011-04-01 04:30:00', '2011-04-01 04:45:00',
               '2011-04-01 05:00:00', '2011-04-01 05:15:00',
               '2011-04-01 05:30:00', '2011-04-01 05:45:00',
               '2011-04-01 06:00:00', '2011-04-01 06:15:00',
               '2011-04-01 06:30:00', '2011-04-01 06:45:00',
               '2011-04-01 07:00:00', '2011-04-01 07:15:00',
               '2011-04-01 07:30:00', '2011-04-01 07:45:00',
               '2011-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-4-1T00 to 2011-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               ...
               '2011-05-03 05:45:00', '2011-05-03 06:00:00',
               '2011-05-03 06:15:00', '2011-05-03 06:30:00',
               '2011-05-03 06:45:00', '2011-05-03 07:00:00',
               '2011-05-03 07:15:00', '2011-05-03 07:30:00',
               '2011-05-03 07:45:00', '2011-05-03 08:00:00'],
              dtype='datetime64[ns]', length=153, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               ...
               '2011-05-20 05:45:00', '2011-05-20 06:00:00',
               '2011-05-20 06:15:00', '2011-05-20 06:30:00',
               '2011-05-20 06:45:00', '2011-05-20 07:00:00',
               '2011-05-20 07:15:00', '2011-05-20 07:30:00',
               '2011-05-20 07:45:00', '2011-05-20 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               ...
               '2011-05-14 05:30:00', '2011-05-14 05:45:00',
               '2011-05-14 06:00:00', '2011-05-14 06:15:00',
               '2011-05-14 06:30:00', '2011-05-14 06:45:00',
               '2011-05-14 07:00:00', '2011-05-14 07:15:00',
               '2011-05-14 07:30:00', '2011-05-14 07:45:00'],
              dtype='datetime64[ns]', length=1280, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-15 07:45:00', '2011-05-15 08:00:00',
               '2011-05-15 08:15:00', '2011-05-15 08:30:00',
               '2011-05-15 08:45:00', '2011-05-15 09:00:00',
               '2011-05-15 09:15:00', '2011-05-15 09:30:00',
               '2011-05-15 09:45:00', '2011-05-15 10:00:00',
               ...
               '2011-05-20 05:45:00', '2011-05-20 06:00:00',
               '2011-05-20 06:15:00', '2011-05-20 06:30:00',
               '2011-05-20 06:45:00', '2011-05-20 07:00:00',
               '2011-05-20 07:15:00', '2011-05-20 07:30:00',
               '2011-05-20 07:45:00', '2011-05-20 08:00:00'],
              dtype='datetime64[ns]', length=294, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-5-1T00 to 2011-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00', '2011-05-09 08:00:00',
               '2011-05-09 08:15:00', '2011-05-09 08:30:00',
               '2011-05-09 08:45:00', '2011-05-09 09:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-05-01 00:00:00', '2011-05-01 00:15:00',
               '2011-05-01 00:30:00', '2011-05-01 00:45:00',
               '2011-05-01 01:00:00', '2011-05-01 01:15:00',
               '2011-05-01 01:30:00', '2011-05-01 01:45:00',
               '2011-05-01 02:00:00', '2011-05-01 02:15:00',
               '2011-05-01 02:30:00', '2011-05-01 02:45:00',
               '2011-05-01 03:00:00', '2011-05-01 03:15:00',
               '2011-05-01 03:30:00', '2011-05-01 03:45:00',
               '2011-05-01 04:00:00', '2011-05-01 04:15:00',
               '2011-05-01 04:30:00', '2011-05-01 04:45:00',
               '2011-05-01 05:00:00', '2011-05-01 05:15:00',
               '2011-05-01 05:30:00', '2011-05-01 05:45:00',
               '2011-05-01 06:00:00', '2011-05-01 06:15:00',
               '2011-05-01 06:30:00', '2011-05-01 06:45:00',
               '2011-05-01 07:00:00', '2011-05-01 07:15:00',
               '2011-05-01 07:30:00', '2011-05-01 07:45:00',
               '2011-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-5-1T00 to 2011-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               ...
               '2011-06-30 02:15:00', '2011-06-30 15:00:00',
               '2011-06-30 15:15:00', '2011-06-30 15:30:00',
               '2011-06-30 16:45:00', '2011-06-30 17:00:00',
               '2011-06-30 17:15:00', '2011-06-30 18:30:00',
               '2011-06-30 18:45:00', '2011-06-30 19:00:00'],
              dtype='datetime64[ns]', length=259, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-6-1T00 to 2011-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00', '2011-06-08 20:15:00',
               '2011-06-08 20:30:00', '2011-06-08 20:45:00',
               '2011-06-08 21:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-06-01 00:00:00', '2011-06-01 00:15:00',
               '2011-06-01 00:30:00', '2011-06-01 00:45:00',
               '2011-06-01 01:00:00', '2011-06-01 01:15:00',
               '2011-06-01 01:30:00', '2011-06-01 01:45:00',
               '2011-06-01 02:00:00', '2011-06-01 02:15:00',
               '2011-06-01 02:30:00', '2011-06-01 02:45:00',
               '2011-06-01 03:00:00', '2011-06-01 03:15:00',
               '2011-06-01 03:30:00', '2011-06-01 03:45:00',
               '2011-06-01 04:00:00', '2011-06-01 04:15:00',
               '2011-06-01 04:30:00', '2011-06-01 04:45:00',
               '2011-06-01 05:00:00', '2011-06-01 05:15:00',
               '2011-06-01 05:30:00', '2011-06-01 05:45:00',
               '2011-06-01 06:00:00', '2011-06-01 06:15:00',
               '2011-06-01 06:30:00', '2011-06-01 06:45:00',
               '2011-06-01 07:00:00', '2011-06-01 07:15:00',
               '2011-06-01 07:30:00', '2011-06-01 07:45:00',
               '2011-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-6-1T00 to 2011-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00', '2011-07-01 09:00:00',
               '2011-07-01 09:15:00', '2011-07-01 09:30:00',
               '2011-07-01 17:30:00', '2011-07-01 17:45:00',
               '2011-07-01 18:00:00', '2011-07-02 13:30:00',
               '2011-07-02 13:45:00', '2011-07-02 14:00:00',
               '2011-07-02 17:15:00', '2011-07-02 17:30:00',
               '2011-07-02 17:45:00', '2011-07-03 20:30:00',
               '2011-07-03 20:45:00', '2011-07-03 21:00:00',
               '2011-07-10 15:15:00', '2011-07-10 15:30:00',
               '2011-07-10 15:45:00', '2011-07-10 16:00:00',
               '2011-07-10 16:15:00', '2011-07-10 16:30:00',
               '2011-07-10 16:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-7-1T00 to 2011-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-07-01 00:00:00', '2011-07-01 00:15:00',
               '2011-07-01 00:30:00', '2011-07-01 00:45:00',
               '2011-07-01 01:00:00', '2011-07-01 01:15:00',
               '2011-07-01 01:30:00', '2011-07-01 01:45:00',
               '2011-07-01 02:00:00', '2011-07-01 02:15:00',
               '2011-07-01 02:30:00', '2011-07-01 02:45:00',
               '2011-07-01 03:00:00', '2011-07-01 03:15:00',
               '2011-07-01 03:30:00', '2011-07-01 03:45:00',
               '2011-07-01 04:00:00', '2011-07-01 04:15:00',
               '2011-07-01 04:30:00', '2011-07-01 04:45:00',
               '2011-07-01 05:00:00', '2011-07-01 05:15:00',
               '2011-07-01 05:30:00', '2011-07-01 05:45:00',
               '2011-07-01 06:00:00', '2011-07-01 06:15:00',
               '2011-07-01 06:30:00', '2011-07-01 06:45:00',
               '2011-07-01 07:00:00', '2011-07-01 07:15:00',
               '2011-07-01 07:30:00', '2011-07-01 07:45:00',
               '2011-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-7-1T00 to 2011-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00', '2011-08-02 20:15:00',
               '2011-08-02 20:30:00', '2011-08-02 20:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00', '2011-08-05 23:00:00',
               '2011-08-05 23:15:00', '2011-08-05 23:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00', '2011-08-13 09:45:00',
               '2011-08-13 10:00:00', '2011-08-13 10:15:00',
               '2011-08-13 10:30:00', '2011-08-13 15:45:00',
               '2011-08-13 16:00:00', '2011-08-13 16:15:00',
               '2011-08-13 16:45:00', '2011-08-13 17:00:00',
               '2011-08-13 17:15:00', '2011-08-14 00:00:00',
               '2011-08-14 00:15:00', '2011-08-14 00:30:00',
               '2011-08-14 13:00:00', '2011-08-14 13:15:00',
               '2011-08-14 13:30:00', '2011-08-14 16:15:00',
               '2011-08-14 16:30:00', '2011-08-14 16:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-8-1T00 to 2011-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               ...
               '2011-08-27 07:45:00', '2011-08-27 08:00:00',
               '2011-08-28 10:00:00', '2011-08-28 10:15:00',
               '2011-08-28 10:30:00', '2011-08-28 10:45:00',
               '2011-08-28 11:15:00', '2011-08-28 11:30:00',
               '2011-08-28 11:45:00', '2011-08-28 12:00:00'],
              dtype='datetime64[ns]', length=241, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-08-01 00:00:00', '2011-08-01 00:15:00',
               '2011-08-01 00:30:00', '2011-08-01 00:45:00',
               '2011-08-01 01:00:00', '2011-08-01 01:15:00',
               '2011-08-01 01:30:00', '2011-08-01 01:45:00',
               '2011-08-01 02:00:00', '2011-08-01 02:15:00',
               '2011-08-01 02:30:00', '2011-08-01 02:45:00',
               '2011-08-01 03:00:00', '2011-08-01 03:15:00',
               '2011-08-01 03:30:00', '2011-08-01 03:45:00',
               '2011-08-01 04:00:00', '2011-08-01 04:15:00',
               '2011-08-01 04:30:00', '2011-08-01 04:45:00',
               '2011-08-01 05:00:00', '2011-08-01 05:15:00',
               '2011-08-01 05:30:00', '2011-08-01 05:45:00',
               '2011-08-01 06:00:00', '2011-08-01 06:15:00',
               '2011-08-01 06:30:00', '2011-08-01 06:45:00',
               '2011-08-01 07:00:00', '2011-08-01 07:15:00',
               '2011-08-01 07:30:00', '2011-08-01 07:45:00',
               '2011-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-8-1T00 to 2011-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00', '2011-09-15 00:30:00',
               '2011-09-15 00:45:00', '2011-09-15 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               ...
               '2011-09-30 20:45:00', '2011-09-30 21:00:00',
               '2011-09-30 21:15:00', '2011-09-30 21:30:00',
               '2011-09-30 21:45:00', '2011-09-30 22:00:00',
               '2011-09-30 22:15:00', '2011-09-30 22:30:00',
               '2011-09-30 22:45:00', '2011-09-30 23:00:00'],
              dtype='datetime64[ns]', length=863, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-9-1T00 to 2011-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               ...
               '2011-09-17 08:00:00', '2011-09-18 05:45:00',
               '2011-09-18 06:00:00', '2011-09-18 06:15:00',
               '2011-09-22 04:00:00', '2011-09-22 04:15:00',
               '2011-09-22 04:30:00', '2011-09-23 03:45:00',
               '2011-09-23 04:00:00', '2011-09-23 04:15:00'],
              dtype='datetime64[ns]', length=566, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-09-01 00:00:00', '2011-09-01 00:15:00',
               '2011-09-01 00:30:00', '2011-09-01 00:45:00',
               '2011-09-01 01:00:00', '2011-09-01 01:15:00',
               '2011-09-01 01:30:00', '2011-09-01 01:45:00',
               '2011-09-01 02:00:00', '2011-09-01 02:15:00',
               '2011-09-01 02:30:00', '2011-09-01 02:45:00',
               '2011-09-01 03:00:00', '2011-09-01 03:15:00',
               '2011-09-01 03:30:00', '2011-09-01 03:45:00',
               '2011-09-01 04:00:00', '2011-09-01 04:15:00',
               '2011-09-01 04:30:00', '2011-09-01 04:45:00',
               '2011-09-01 05:00:00', '2011-09-01 05:15:00',
               '2011-09-01 05:30:00', '2011-09-01 05:45:00',
               '2011-09-01 06:00:00', '2011-09-01 06:15:00',
               '2011-09-01 06:30:00', '2011-09-01 06:45:00',
               '2011-09-01 07:00:00', '2011-09-01 07:15:00',
               '2011-09-01 07:30:00', '2011-09-01 07:45:00',
               '2011-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-9-1T00 to 2011-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               ...
               '2011-10-31 20:45:00', '2011-10-31 21:00:00',
               '2011-10-31 21:15:00', '2011-10-31 21:30:00',
               '2011-10-31 21:45:00', '2011-10-31 22:00:00',
               '2011-10-31 22:15:00', '2011-10-31 22:30:00',
               '2011-10-31 22:45:00', '2011-10-31 23:00:00'],
              dtype='datetime64[ns]', length=481, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00', '2011-10-03 02:00:00',
               '2011-10-03 02:15:00', '2011-10-03 02:30:00',
               '2011-10-03 02:45:00', '2011-10-03 03:00:00',
               '2011-10-03 03:15:00', '2011-10-07 17:00:00',
               '2011-10-07 17:15:00', '2011-10-07 17:30:00',
               '2011-10-07 17:45:00', '2011-10-07 18:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               ...
               '2011-10-31 20:45:00', '2011-10-31 21:00:00',
               '2011-10-31 21:15:00', '2011-10-31 21:30:00',
               '2011-10-31 21:45:00', '2011-10-31 22:00:00',
               '2011-10-31 22:15:00', '2011-10-31 22:30:00',
               '2011-10-31 22:45:00', '2011-10-31 23:00:00'],
              dtype='datetime64[ns]', length=587, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               ...
               '2011-10-30 05:45:00', '2011-10-30 06:00:00',
               '2011-10-30 06:15:00', '2011-10-30 06:30:00',
               '2011-10-30 06:45:00', '2011-10-30 07:00:00',
               '2011-10-30 07:15:00', '2011-10-30 07:30:00',
               '2011-10-30 07:45:00', '2011-10-30 08:00:00'],
              dtype='datetime64[ns]', length=615, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               ...
               '2011-10-31 20:45:00', '2011-10-31 21:00:00',
               '2011-10-31 21:15:00', '2011-10-31 21:30:00',
               '2011-10-31 21:45:00', '2011-10-31 22:00:00',
               '2011-10-31 22:15:00', '2011-10-31 22:30:00',
               '2011-10-31 22:45:00', '2011-10-31 23:00:00'],
              dtype='datetime64[ns]', length=287, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-10-14 08:00:00', '2011-10-14 08:15:00',
               '2011-10-14 08:30:00', '2011-10-14 08:45:00',
               '2011-10-14 09:00:00', '2011-10-14 09:15:00',
               '2011-10-14 09:30:00', '2011-10-14 09:45:00',
               '2011-10-14 10:00:00', '2011-10-14 10:15:00',
               ...
               '2011-10-31 20:45:00', '2011-10-31 21:00:00',
               '2011-10-31 21:15:00', '2011-10-31 21:30:00',
               '2011-10-31 21:45:00', '2011-10-31 22:00:00',
               '2011-10-31 22:15:00', '2011-10-31 22:30:00',
               '2011-10-31 22:45:00', '2011-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1693, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-10-1T00 to 2011-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               ...
               '2011-10-31 20:45:00', '2011-10-31 21:00:00',
               '2011-10-31 21:15:00', '2011-10-31 21:30:00',
               '2011-10-31 21:45:00', '2011-10-31 22:00:00',
               '2011-10-31 22:15:00', '2011-10-31 22:30:00',
               '2011-10-31 22:45:00', '2011-10-31 23:00:00'],
              dtype='datetime64[ns]', length=479, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-10-01 00:00:00', '2011-10-01 00:15:00',
               '2011-10-01 00:30:00', '2011-10-01 00:45:00',
               '2011-10-01 01:00:00', '2011-10-01 01:15:00',
               '2011-10-01 01:30:00', '2011-10-01 01:45:00',
               '2011-10-01 02:00:00', '2011-10-01 02:15:00',
               '2011-10-01 02:30:00', '2011-10-01 02:45:00',
               '2011-10-01 03:00:00', '2011-10-01 03:15:00',
               '2011-10-01 03:30:00', '2011-10-01 03:45:00',
               '2011-10-01 04:00:00', '2011-10-01 04:15:00',
               '2011-10-01 04:30:00', '2011-10-01 04:45:00',
               '2011-10-01 05:00:00', '2011-10-01 05:15:00',
               '2011-10-01 05:30:00', '2011-10-01 05:45:00',
               '2011-10-01 06:00:00', '2011-10-01 06:15:00',
               '2011-10-01 06:30:00', '2011-10-01 06:45:00',
               '2011-10-01 07:00:00', '2011-10-01 07:15:00',
               '2011-10-01 07:30:00', '2011-10-01 07:45:00',
               '2011-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-10-1T00 to 2011-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 12.36, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-11-08 09:00:00', '2011-11-08 09:15:00',
               '2011-11-08 09:30:00', '2011-11-08 09:45:00',
               '2011-11-08 10:00:00', '2011-11-08 10:15:00',
               '2011-11-08 10:30:00', '2011-11-08 10:45:00',
               '2011-11-08 11:00:00', '2011-11-08 11:15:00',
               ...
               '2011-11-30 20:45:00', '2011-11-30 21:00:00',
               '2011-11-30 21:15:00', '2011-11-30 21:30:00',
               '2011-11-30 21:45:00', '2011-11-30 22:00:00',
               '2011-11-30 22:15:00', '2011-11-30 22:30:00',
               '2011-11-30 22:45:00', '2011-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2169, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               '2011-11-01 02:30:00', '2011-11-01 02:45:00',
               '2011-11-01 03:00:00', '2011-11-01 03:15:00',
               '2011-11-01 03:30:00', '2011-11-01 03:45:00',
               '2011-11-01 04:00:00', '2011-11-01 04:15:00',
               '2011-11-01 04:30:00', '2011-11-01 04:45:00',
               '2011-11-01 05:00:00', '2011-11-01 05:15:00',
               '2011-11-01 05:30:00', '2011-11-01 05:45:00',
               '2011-11-01 06:00:00', '2011-11-01 06:15:00',
               '2011-11-01 06:30:00', '2011-11-01 06:45:00',
               '2011-11-01 07:00:00', '2011-11-01 07:15:00',
               '2011-11-01 07:30:00', '2011-11-01 07:45:00',
               '2011-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-11-03 08:00:00', '2011-11-03 08:15:00',
               '2011-11-03 08:30:00', '2011-11-03 08:45:00',
               '2011-11-03 09:00:00', '2011-11-03 09:15:00',
               '2011-11-03 09:30:00', '2011-11-03 09:45:00',
               '2011-11-03 10:00:00', '2011-11-03 10:15:00',
               ...
               '2011-11-30 20:45:00', '2011-11-30 21:00:00',
               '2011-11-30 21:15:00', '2011-11-30 21:30:00',
               '2011-11-30 21:45:00', '2011-11-30 22:00:00',
               '2011-11-30 22:15:00', '2011-11-30 22:30:00',
               '2011-11-30 22:45:00', '2011-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2653, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               '2011-11-01 02:30:00', '2011-11-01 02:45:00',
               '2011-11-01 03:00:00', '2011-11-01 03:15:00',
               '2011-11-01 03:30:00', '2011-11-01 03:45:00',
               '2011-11-01 04:00:00', '2011-11-01 04:15:00',
               '2011-11-01 04:30:00', '2011-11-01 04:45:00',
               '2011-11-01 05:00:00', '2011-11-01 05:15:00',
               '2011-11-01 05:30:00', '2011-11-01 05:45:00',
               '2011-11-01 06:00:00', '2011-11-01 06:15:00',
               '2011-11-01 06:30:00', '2011-11-01 06:45:00',
               '2011-11-01 07:00:00', '2011-11-01 07:15:00',
               '2011-11-01 07:30:00', '2011-11-01 07:45:00',
               '2011-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               '2011-11-01 02:30:00', '2011-11-01 02:45:00',
               '2011-11-01 03:00:00', '2011-11-01 03:15:00',
               '2011-11-01 03:30:00', '2011-11-01 03:45:00',
               '2011-11-01 04:00:00', '2011-11-01 04:15:00',
               '2011-11-01 04:30:00', '2011-11-01 04:45:00',
               '2011-11-01 05:00:00', '2011-11-01 05:15:00',
               '2011-11-01 05:30:00', '2011-11-01 05:45:00',
               '2011-11-01 06:00:00', '2011-11-01 06:15:00',
               '2011-11-01 06:30:00', '2011-11-01 06:45:00',
               '2011-11-01 07:00:00', '2011-11-01 07:15:00',
               '2011-11-01 07:30:00', '2011-11-01 07:45:00',
               '2011-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-11-07 09:00:00', '2011-11-07 09:15:00',
               '2011-11-07 09:30:00', '2011-11-07 09:45:00',
               '2011-11-07 10:00:00', '2011-11-07 10:15:00',
               '2011-11-07 10:30:00', '2011-11-07 10:45:00',
               '2011-11-07 11:00:00', '2011-11-07 11:15:00',
               ...
               '2011-11-30 20:45:00', '2011-11-30 21:00:00',
               '2011-11-30 21:15:00', '2011-11-30 21:30:00',
               '2011-11-30 21:45:00', '2011-11-30 22:00:00',
               '2011-11-30 22:15:00', '2011-11-30 22:30:00',
               '2011-11-30 22:45:00', '2011-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2265, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               ...
               '2011-11-04 05:45:00', '2011-11-04 06:00:00',
               '2011-11-04 06:15:00', '2011-11-04 06:30:00',
               '2011-11-04 06:45:00', '2011-11-04 07:00:00',
               '2011-11-04 07:15:00', '2011-11-04 07:30:00',
               '2011-11-04 07:45:00', '2011-11-04 08:00:00'],
              dtype='datetime64[ns]', length=321, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.72, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-11-14 09:00:00', '2011-11-14 09:15:00',
               '2011-11-14 09:30:00', '2011-11-14 09:45:00',
               '2011-11-14 10:00:00', '2011-11-14 10:15:00',
               '2011-11-14 10:30:00', '2011-11-14 10:45:00',
               '2011-11-14 11:00:00', '2011-11-14 11:15:00',
               ...
               '2011-11-30 20:45:00', '2011-11-30 21:00:00',
               '2011-11-30 21:15:00', '2011-11-30 21:30:00',
               '2011-11-30 21:45:00', '2011-11-30 22:00:00',
               '2011-11-30 22:15:00', '2011-11-30 22:30:00',
               '2011-11-30 22:45:00', '2011-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               ...
               '2011-11-13 06:45:00', '2011-11-13 07:00:00',
               '2011-11-13 07:15:00', '2011-11-13 07:30:00',
               '2011-11-13 07:45:00', '2011-11-13 08:00:00',
               '2011-11-13 08:15:00', '2011-11-13 08:30:00',
               '2011-11-13 08:45:00', '2011-11-13 09:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-11-16 09:00:00', '2011-11-16 09:15:00',
               '2011-11-16 09:30:00', '2011-11-16 09:45:00',
               '2011-11-16 10:00:00', '2011-11-16 10:15:00',
               '2011-11-16 10:30:00', '2011-11-16 10:45:00',
               '2011-11-16 11:00:00', '2011-11-16 11:15:00',
               ...
               '2011-11-30 20:45:00', '2011-11-30 21:00:00',
               '2011-11-30 21:15:00', '2011-11-30 21:30:00',
               '2011-11-30 21:45:00', '2011-11-30 22:00:00',
               '2011-11-30 22:15:00', '2011-11-30 22:30:00',
               '2011-11-30 22:45:00', '2011-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1401, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               '2011-11-01 02:30:00', '2011-11-01 02:45:00',
               '2011-11-01 03:00:00', '2011-11-01 03:15:00',
               '2011-11-01 03:30:00', '2011-11-01 03:45:00',
               '2011-11-01 04:00:00', '2011-11-01 04:15:00',
               '2011-11-01 04:30:00', '2011-11-01 04:45:00',
               '2011-11-01 05:00:00', '2011-11-01 05:15:00',
               '2011-11-01 05:30:00', '2011-11-01 05:45:00',
               '2011-11-01 06:00:00', '2011-11-01 06:15:00',
               '2011-11-01 06:30:00', '2011-11-01 06:45:00',
               '2011-11-01 07:00:00', '2011-11-01 07:15:00',
               '2011-11-01 07:30:00', '2011-11-01 07:45:00',
               '2011-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-11-1T00 to 2011-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               '2011-11-01 02:30:00', '2011-11-01 02:45:00',
               '2011-11-01 03:00:00', '2011-11-01 03:15:00',
               '2011-11-01 03:30:00', '2011-11-01 03:45:00',
               '2011-11-01 04:00:00', '2011-11-01 04:15:00',
               '2011-11-01 04:30:00', '2011-11-01 04:45:00',
               '2011-11-01 05:00:00', '2011-11-01 05:15:00',
               '2011-11-01 05:30:00', '2011-11-01 05:45:00',
               '2011-11-01 06:00:00', '2011-11-01 06:15:00',
               '2011-11-01 06:30:00', '2011-11-01 06:45:00',
               '2011-11-01 07:00:00', '2011-11-01 07:15:00',
               '2011-11-01 07:30:00', '2011-11-01 07:45:00',
               '2011-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-11-01 00:00:00', '2011-11-01 00:15:00',
               '2011-11-01 00:30:00', '2011-11-01 00:45:00',
               '2011-11-01 01:00:00', '2011-11-01 01:15:00',
               '2011-11-01 01:30:00', '2011-11-01 01:45:00',
               '2011-11-01 02:00:00', '2011-11-01 02:15:00',
               '2011-11-01 02:30:00', '2011-11-01 02:45:00',
               '2011-11-01 03:00:00', '2011-11-01 03:15:00',
               '2011-11-01 03:30:00', '2011-11-01 03:45:00',
               '2011-11-01 04:00:00', '2011-11-01 04:15:00',
               '2011-11-01 04:30:00', '2011-11-01 04:45:00',
               '2011-11-01 05:00:00', '2011-11-01 05:15:00',
               '2011-11-01 05:30:00', '2011-11-01 05:45:00',
               '2011-11-01 06:00:00', '2011-11-01 06:15:00',
               '2011-11-01 06:30:00', '2011-11-01 06:45:00',
               '2011-11-01 07:00:00', '2011-11-01 07:15:00',
               '2011-11-01 07:30:00', '2011-11-01 07:45:00',
               '2011-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-11-1T00 to 2011-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.25, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-12-01 00:00:00', '2011-12-01 00:15:00',
               '2011-12-01 00:30:00', '2011-12-01 00:45:00',
               '2011-12-01 01:00:00', '2011-12-01 01:15:00',
               '2011-12-01 01:30:00', '2011-12-01 01:45:00',
               '2011-12-01 02:00:00', '2011-12-01 02:15:00',
               ...
               '2011-12-06 06:45:00', '2011-12-06 07:00:00',
               '2011-12-06 07:15:00', '2011-12-06 07:30:00',
               '2011-12-06 07:45:00', '2011-12-06 08:00:00',
               '2011-12-06 08:15:00', '2011-12-06 08:30:00',
               '2011-12-06 08:45:00', '2011-12-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-12-01 00:00:00', '2011-12-01 00:15:00',
               '2011-12-01 00:30:00', '2011-12-01 00:45:00',
               '2011-12-01 01:00:00', '2011-12-01 01:15:00',
               '2011-12-01 01:30:00', '2011-12-01 01:45:00',
               '2011-12-01 02:00:00', '2011-12-01 02:15:00',
               '2011-12-01 02:30:00', '2011-12-01 02:45:00',
               '2011-12-01 03:00:00', '2011-12-01 03:15:00',
               '2011-12-01 03:30:00', '2011-12-01 03:45:00',
               '2011-12-01 04:00:00', '2011-12-01 04:15:00',
               '2011-12-01 04:30:00', '2011-12-01 04:45:00',
               '2011-12-01 05:00:00', '2011-12-01 05:15:00',
               '2011-12-01 05:30:00', '2011-12-01 05:45:00',
               '2011-12-01 06:00:00', '2011-12-01 06:15:00',
               '2011-12-01 06:30:00', '2011-12-01 06:45:00',
               '2011-12-01 07:00:00', '2011-12-01 07:15:00',
               '2011-12-01 07:30:00', '2011-12-01 07:45:00',
               '2011-12-01 08:00:00', '2011-12-01 08:15:00',
               '2011-12-01 08:30:00', '2011-12-01 08:45:00',
               '2011-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-12-22 09:00:00', '2011-12-22 09:15:00',
               '2011-12-22 09:30:00', '2011-12-22 09:45:00',
               '2011-12-22 10:00:00', '2011-12-22 10:15:00',
               '2011-12-22 10:30:00', '2011-12-22 10:45:00',
               '2011-12-22 11:00:00', '2011-12-22 11:15:00',
               ...
               '2011-12-31 20:45:00', '2011-12-31 21:00:00',
               '2011-12-31 21:15:00', '2011-12-31 21:30:00',
               '2011-12-31 21:45:00', '2011-12-31 22:00:00',
               '2011-12-31 22:15:00', '2011-12-31 22:30:00',
               '2011-12-31 22:45:00', '2011-12-31 23:00:00'],
              dtype='datetime64[ns]', length=921, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-12-01 00:00:00', '2011-12-01 00:15:00',
               '2011-12-01 00:30:00', '2011-12-01 00:45:00',
               '2011-12-01 01:00:00', '2011-12-01 01:15:00',
               '2011-12-01 01:30:00', '2011-12-01 01:45:00',
               '2011-12-01 02:00:00', '2011-12-01 02:15:00',
               ...
               '2011-12-20 06:45:00', '2011-12-20 07:00:00',
               '2011-12-20 07:15:00', '2011-12-20 07:30:00',
               '2011-12-20 07:45:00', '2011-12-20 08:00:00',
               '2011-12-20 08:15:00', '2011-12-20 08:30:00',
               '2011-12-20 08:45:00', '2011-12-20 09:00:00'],
              dtype='datetime64[ns]', length=809, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.73, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2011-12-22 09:00:00', '2011-12-22 09:15:00',
               '2011-12-22 09:30:00', '2011-12-22 09:45:00',
               '2011-12-22 10:00:00', '2011-12-22 10:15:00',
               '2011-12-22 10:30:00', '2011-12-22 10:45:00',
               '2011-12-22 11:00:00', '2011-12-22 11:15:00',
               ...
               '2011-12-31 20:45:00', '2011-12-31 21:00:00',
               '2011-12-31 21:15:00', '2011-12-31 21:30:00',
               '2011-12-31 21:45:00', '2011-12-31 22:00:00',
               '2011-12-31 22:15:00', '2011-12-31 22:30:00',
               '2011-12-31 22:45:00', '2011-12-31 23:00:00'],
              dtype='datetime64[ns]', length=921, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-12-01 00:00:00', '2011-12-01 00:15:00',
               '2011-12-01 00:30:00', '2011-12-01 00:45:00',
               '2011-12-01 01:00:00', '2011-12-01 01:15:00',
               '2011-12-01 01:30:00', '2011-12-01 01:45:00',
               '2011-12-01 02:00:00', '2011-12-01 02:15:00',
               ...
               '2011-12-06 06:45:00', '2011-12-06 07:00:00',
               '2011-12-06 07:15:00', '2011-12-06 07:30:00',
               '2011-12-06 07:45:00', '2011-12-06 08:00:00',
               '2011-12-06 08:15:00', '2011-12-06 08:30:00',
               '2011-12-06 08:45:00', '2011-12-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2011-12-1T00 to 2011-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-12-01 00:00:00', '2011-12-01 00:15:00',
               '2011-12-01 00:30:00', '2011-12-01 00:45:00',
               '2011-12-01 01:00:00', '2011-12-01 01:15:00',
               '2011-12-01 01:30:00', '2011-12-01 01:45:00',
               '2011-12-01 02:00:00', '2011-12-01 02:15:00',
               '2011-12-01 02:30:00', '2011-12-01 02:45:00',
               '2011-12-01 03:00:00', '2011-12-01 03:15:00',
               '2011-12-01 03:30:00', '2011-12-01 03:45:00',
               '2011-12-01 04:00:00', '2011-12-01 04:15:00',
               '2011-12-01 04:30:00', '2011-12-01 04:45:00',
               '2011-12-01 05:00:00', '2011-12-01 05:15:00',
               '2011-12-01 05:30:00', '2011-12-01 05:45:00',
               '2011-12-01 06:00:00', '2011-12-01 06:15:00',
               '2011-12-01 06:30:00', '2011-12-01 06:45:00',
               '2011-12-01 07:00:00', '2011-12-01 07:15:00',
               '2011-12-01 07:30:00', '2011-12-01 07:45:00',
               '2011-12-01 08:00:00', '2011-12-01 08:15:00',
               '2011-12-01 08:30:00', '2011-12-01 08:45:00',
               '2011-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2011-12-01 00:00:00', '2011-12-01 00:15:00',
               '2011-12-01 00:30:00', '2011-12-01 00:45:00',
               '2011-12-01 01:00:00', '2011-12-01 01:15:00',
               '2011-12-01 01:30:00', '2011-12-01 01:45:00',
               '2011-12-01 02:00:00', '2011-12-01 02:15:00',
               '2011-12-01 02:30:00', '2011-12-01 02:45:00',
               '2011-12-01 03:00:00', '2011-12-01 03:15:00',
               '2011-12-01 03:30:00', '2011-12-01 03:45:00',
               '2011-12-01 04:00:00', '2011-12-01 04:15:00',
               '2011-12-01 04:30:00', '2011-12-01 04:45:00',
               '2011-12-01 05:00:00', '2011-12-01 05:15:00',
               '2011-12-01 05:30:00', '2011-12-01 05:45:00',
               '2011-12-01 06:00:00', '2011-12-01 06:15:00',
               '2011-12-01 06:30:00', '2011-12-01 06:45:00',
               '2011-12-01 07:00:00', '2011-12-01 07:15:00',
               '2011-12-01 07:30:00', '2011-12-01 07:45:00',
               '2011-12-01 08:00:00', '2011-12-01 08:15:00',
               '2011-12-01 08:30:00', '2011-12-01 08:45:00',
               '2011-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2011-12-1T00 to 2011-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2012

year = 2012
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-01-26 17:45:00', '2012-01-26 18:00:00',
               '2012-01-26 18:15:00', '2012-01-26 18:30:00',
               '2012-01-26 18:45:00', '2012-01-26 19:00:00',
               '2012-01-26 19:15:00', '2012-01-26 19:30:00',
               '2012-01-26 19:45:00', '2012-01-26 20:00:00',
               ...
               '2012-01-30 12:30:00', '2012-01-30 12:45:00',
               '2012-01-30 13:00:00', '2012-01-30 13:15:00',
               '2012-01-30 13:30:00', '2012-01-30 13:45:00',
               '2012-01-30 14:00:00', '2012-01-30 14:15:00',
               '2012-01-30 14:30:00', '2012-01-30 14:45:00'],
              dtype='datetime64[ns]', length=373, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-01-01 00:00:00', '2012-01-01 00:15:00',
               '2012-01-01 00:30:00', '2012-01-01 00:45:00',
               '2012-01-01 01:00:00', '2012-01-01 01:15:00',
               '2012-01-01 01:30:00', '2012-01-01 01:45:00',
               '2012-01-01 02:00:00', '2012-01-01 02:15:00',
               '2012-01-01 02:30:00', '2012-01-01 02:45:00',
               '2012-01-01 03:00:00', '2012-01-01 03:15:00',
               '2012-01-01 03:30:00', '2012-01-01 03:45:00',
               '2012-01-01 04:00:00', '2012-01-01 04:15:00',
               '2012-01-01 04:30:00', '2012-01-01 04:45:00',
               '2012-01-01 05:00:00', '2012-01-01 05:15:00',
               '2012-01-01 05:30:00', '2012-01-01 05:45:00',
               '2012-01-01 06:00:00', '2012-01-01 06:15:00',
               '2012-01-01 06:30:00', '2012-01-01 06:45:00',
               '2012-01-01 07:00:00', '2012-01-01 07:15:00',
               '2012-01-01 07:30:00', '2012-01-01 07:45:00',
               '2012-01-01 08:00:00', '2012-01-01 08:15:00',
               '2012-01-01 08:30:00', '2012-01-01 08:45:00',
               '2012-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-01-01 00:00:00', '2012-01-01 00:15:00',
               '2012-01-01 00:30:00', '2012-01-01 00:45:00',
               '2012-01-01 01:00:00', '2012-01-01 01:15:00',
               '2012-01-01 01:30:00', '2012-01-01 01:45:00',
               '2012-01-01 02:00:00', '2012-01-01 02:15:00',
               '2012-01-01 02:30:00', '2012-01-01 02:45:00',
               '2012-01-01 03:00:00', '2012-01-01 03:15:00',
               '2012-01-01 03:30:00', '2012-01-01 03:45:00',
               '2012-01-01 04:00:00', '2012-01-01 04:15:00',
               '2012-01-01 04:30:00', '2012-01-01 04:45:00',
               '2012-01-01 05:00:00', '2012-01-01 05:15:00',
               '2012-01-01 05:30:00', '2012-01-01 05:45:00',
               '2012-01-01 06:00:00', '2012-01-01 06:15:00',
               '2012-01-01 06:30:00', '2012-01-01 06:45:00',
               '2012-01-01 07:00:00', '2012-01-01 07:15:00',
               '2012-01-01 07:30:00', '2012-01-01 07:45:00',
               '2012-01-01 08:00:00', '2012-01-01 08:15:00',
               '2012-01-01 08:30:00', '2012-01-01 08:45:00',
               '2012-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-1-1T00 to 2012-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-01-01 00:00:00', '2012-01-01 00:15:00',
               '2012-01-01 00:30:00', '2012-01-01 00:45:00',
               '2012-01-01 01:00:00', '2012-01-01 01:15:00',
               '2012-01-01 01:30:00', '2012-01-01 01:45:00',
               '2012-01-01 02:00:00', '2012-01-01 02:15:00',
               '2012-01-01 02:30:00', '2012-01-01 02:45:00',
               '2012-01-01 03:00:00', '2012-01-01 03:15:00',
               '2012-01-01 03:30:00', '2012-01-01 03:45:00',
               '2012-01-01 04:00:00', '2012-01-01 04:15:00',
               '2012-01-01 04:30:00', '2012-01-01 04:45:00',
               '2012-01-01 05:00:00', '2012-01-01 05:15:00',
               '2012-01-01 05:30:00', '2012-01-01 05:45:00',
               '2012-01-01 06:00:00', '2012-01-01 06:15:00',
               '2012-01-01 06:30:00', '2012-01-01 06:45:00',
               '2012-01-01 07:00:00', '2012-01-01 07:15:00',
               '2012-01-01 07:30:00', '2012-01-01 07:45:00',
               '2012-01-01 08:00:00', '2012-01-01 08:15:00',
               '2012-01-01 08:30:00', '2012-01-01 08:45:00',
               '2012-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-01-01 00:00:00', '2012-01-01 00:15:00',
               '2012-01-01 00:30:00', '2012-01-01 00:45:00',
               '2012-01-01 01:00:00', '2012-01-01 01:15:00',
               '2012-01-01 01:30:00', '2012-01-01 01:45:00',
               '2012-01-01 02:00:00', '2012-01-01 02:15:00',
               '2012-01-01 02:30:00', '2012-01-01 02:45:00',
               '2012-01-01 03:00:00', '2012-01-01 03:15:00',
               '2012-01-01 03:30:00', '2012-01-01 03:45:00',
               '2012-01-01 04:00:00', '2012-01-01 04:15:00',
               '2012-01-01 04:30:00', '2012-01-01 04:45:00',
               '2012-01-01 05:00:00', '2012-01-01 05:15:00',
               '2012-01-01 05:30:00', '2012-01-01 05:45:00',
               '2012-01-01 06:00:00', '2012-01-01 06:15:00',
               '2012-01-01 06:30:00', '2012-01-01 06:45:00',
               '2012-01-01 07:00:00', '2012-01-01 07:15:00',
               '2012-01-01 07:30:00', '2012-01-01 07:45:00',
               '2012-01-01 08:00:00', '2012-01-01 08:15:00',
               '2012-01-01 08:30:00', '2012-01-01 08:45:00',
               '2012-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-1-1T00 to 2012-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-02-01 00:00:00', '2012-02-01 00:15:00',
               '2012-02-01 00:30:00', '2012-02-01 00:45:00',
               '2012-02-01 01:00:00', '2012-02-01 01:15:00',
               '2012-02-01 01:30:00', '2012-02-01 01:45:00',
               '2012-02-01 02:00:00', '2012-02-01 02:15:00',
               ...
               '2012-02-09 06:30:00', '2012-02-09 06:45:00',
               '2012-02-09 07:00:00', '2012-02-09 07:15:00',
               '2012-02-09 07:30:00', '2012-02-09 07:45:00',
               '2012-02-09 08:00:00', '2012-02-09 08:15:00',
               '2012-02-09 08:30:00', '2012-02-09 08:45:00'],
              dtype='datetime64[ns]', length=804, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-02-01 00:00:00', '2012-02-01 00:15:00',
               '2012-02-01 00:30:00', '2012-02-01 00:45:00',
               '2012-02-01 01:00:00', '2012-02-01 01:15:00',
               '2012-02-01 01:30:00', '2012-02-01 01:45:00',
               '2012-02-01 02:00:00', '2012-02-01 02:15:00',
               '2012-02-01 02:30:00', '2012-02-01 02:45:00',
               '2012-02-01 03:00:00', '2012-02-01 03:15:00',
               '2012-02-01 03:30:00', '2012-02-01 03:45:00',
               '2012-02-01 04:00:00', '2012-02-01 04:15:00',
               '2012-02-01 04:30:00', '2012-02-01 04:45:00',
               '2012-02-01 05:00:00', '2012-02-01 05:15:00',
               '2012-02-01 05:30:00', '2012-02-01 05:45:00',
               '2012-02-01 06:00:00', '2012-02-01 06:15:00',
               '2012-02-01 06:30:00', '2012-02-01 06:45:00',
               '2012-02-01 07:00:00', '2012-02-01 07:15:00',
               '2012-02-01 07:30:00', '2012-02-01 07:45:00',
               '2012-02-01 08:00:00', '2012-02-01 08:15:00',
               '2012-02-01 08:30:00', '2012-02-01 08:45:00',
               '2012-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-02-01 00:00:00', '2012-02-01 00:15:00',
               '2012-02-01 00:30:00', '2012-02-01 00:45:00',
               '2012-02-01 01:00:00', '2012-02-01 01:15:00',
               '2012-02-01 01:30:00', '2012-02-01 01:45:00',
               '2012-02-01 02:00:00', '2012-02-01 02:15:00',
               '2012-02-01 02:30:00', '2012-02-01 02:45:00',
               '2012-02-01 03:00:00', '2012-02-01 03:15:00',
               '2012-02-01 03:30:00', '2012-02-01 03:45:00',
               '2012-02-01 04:00:00', '2012-02-01 04:15:00',
               '2012-02-01 04:30:00', '2012-02-01 04:45:00',
               '2012-02-01 05:00:00', '2012-02-01 05:15:00',
               '2012-02-01 05:30:00', '2012-02-01 05:45:00',
               '2012-02-01 06:00:00', '2012-02-01 06:15:00',
               '2012-02-01 06:30:00', '2012-02-01 06:45:00',
               '2012-02-01 07:00:00', '2012-02-01 07:15:00',
               '2012-02-01 07:30:00', '2012-02-01 07:45:00',
               '2012-02-01 08:00:00', '2012-02-01 08:15:00',
               '2012-02-01 08:30:00', '2012-02-01 08:45:00',
               '2012-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-02-01 00:00:00', '2012-02-01 00:15:00',
               '2012-02-01 00:30:00', '2012-02-01 00:45:00',
               '2012-02-01 01:00:00', '2012-02-01 01:15:00',
               '2012-02-01 01:30:00', '2012-02-01 01:45:00',
               '2012-02-01 02:00:00', '2012-02-01 02:15:00',
               ...
               '2012-02-14 06:30:00', '2012-02-14 06:45:00',
               '2012-02-14 07:00:00', '2012-02-14 07:15:00',
               '2012-02-14 07:30:00', '2012-02-14 07:45:00',
               '2012-02-14 08:00:00', '2012-02-14 08:15:00',
               '2012-02-14 08:30:00', '2012-02-14 08:45:00'],
              dtype='datetime64[ns]', length=1284, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-02-20 08:45:00', '2012-02-20 09:00:00',
               '2012-02-20 09:15:00', '2012-02-20 09:30:00',
               '2012-02-20 09:45:00', '2012-02-20 10:00:00',
               '2012-02-20 10:15:00', '2012-02-20 10:30:00',
               '2012-02-20 10:45:00', '2012-02-20 11:00:00',
               ...
               '2012-02-29 20:45:00', '2012-02-29 21:00:00',
               '2012-02-29 21:15:00', '2012-02-29 21:30:00',
               '2012-02-29 21:45:00', '2012-02-29 22:00:00',
               '2012-02-29 22:15:00', '2012-02-29 22:30:00',
               '2012-02-29 22:45:00', '2012-02-29 23:00:00'],
              dtype='datetime64[ns]', length=732, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.71, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-02-01 00:00:00', '2012-02-01 00:15:00',
               '2012-02-01 00:30:00', '2012-02-01 00:45:00',
               '2012-02-01 01:00:00', '2012-02-01 01:15:00',
               '2012-02-01 01:30:00', '2012-02-01 01:45:00',
               '2012-02-01 02:00:00', '2012-02-01 02:15:00',
               ...
               '2012-02-22 06:30:00', '2012-02-22 06:45:00',
               '2012-02-22 07:00:00', '2012-02-22 07:15:00',
               '2012-02-22 07:30:00', '2012-02-22 07:45:00',
               '2012-02-22 08:00:00', '2012-02-22 08:15:00',
               '2012-02-22 08:30:00', '2012-02-22 08:45:00'],
              dtype='datetime64[ns]', length=2052, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-02-25 08:45:00', '2012-02-25 09:00:00',
               '2012-02-25 09:15:00', '2012-02-25 09:30:00',
               '2012-02-25 09:45:00', '2012-02-25 10:00:00',
               '2012-02-25 10:15:00', '2012-02-25 10:30:00',
               '2012-02-25 10:45:00', '2012-02-25 11:00:00',
               ...
               '2012-02-29 20:45:00', '2012-02-29 21:00:00',
               '2012-02-29 21:15:00', '2012-02-29 21:30:00',
               '2012-02-29 21:45:00', '2012-02-29 22:00:00',
               '2012-02-29 22:15:00', '2012-02-29 22:30:00',
               '2012-02-29 22:45:00', '2012-02-29 23:00:00'],
              dtype='datetime64[ns]', length=252, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-2-1T00 to 2012-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-02-01 00:00:00', '2012-02-01 00:15:00',
               '2012-02-01 00:30:00', '2012-02-01 00:45:00',
               '2012-02-01 01:00:00', '2012-02-01 01:15:00',
               '2012-02-01 01:30:00', '2012-02-01 01:45:00',
               '2012-02-01 02:00:00', '2012-02-01 02:15:00',
               '2012-02-01 02:30:00', '2012-02-01 02:45:00',
               '2012-02-01 03:00:00', '2012-02-01 03:15:00',
               '2012-02-01 03:30:00', '2012-02-01 03:45:00',
               '2012-02-01 04:00:00', '2012-02-01 04:15:00',
               '2012-02-01 04:30:00', '2012-02-01 04:45:00',
               '2012-02-01 05:00:00', '2012-02-01 05:15:00',
               '2012-02-01 05:30:00', '2012-02-01 05:45:00',
               '2012-02-01 06:00:00', '2012-02-01 06:15:00',
               '2012-02-01 06:30:00', '2012-02-01 06:45:00',
               '2012-02-01 07:00:00', '2012-02-01 07:15:00',
               '2012-02-01 07:30:00', '2012-02-01 07:45:00',
               '2012-02-01 08:00:00', '2012-02-01 08:15:00',
               '2012-02-01 08:30:00', '2012-02-01 08:45:00',
               '2012-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-02-01 00:00:00', '2012-02-01 00:15:00',
               '2012-02-01 00:30:00', '2012-02-01 00:45:00',
               '2012-02-01 01:00:00', '2012-02-01 01:15:00',
               '2012-02-01 01:30:00', '2012-02-01 01:45:00',
               '2012-02-01 02:00:00', '2012-02-01 02:15:00',
               '2012-02-01 02:30:00', '2012-02-01 02:45:00',
               '2012-02-01 03:00:00', '2012-02-01 03:15:00',
               '2012-02-01 03:30:00', '2012-02-01 03:45:00',
               '2012-02-01 04:00:00', '2012-02-01 04:15:00',
               '2012-02-01 04:30:00', '2012-02-01 04:45:00',
               '2012-02-01 05:00:00', '2012-02-01 05:15:00',
               '2012-02-01 05:30:00', '2012-02-01 05:45:00',
               '2012-02-01 06:00:00', '2012-02-01 06:15:00',
               '2012-02-01 06:30:00', '2012-02-01 06:45:00',
               '2012-02-01 07:00:00', '2012-02-01 07:15:00',
               '2012-02-01 07:30:00', '2012-02-01 07:45:00',
               '2012-02-01 08:00:00', '2012-02-01 08:15:00',
               '2012-02-01 08:30:00', '2012-02-01 08:45:00',
               '2012-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-2-1T00 to 2012-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-03-01 00:00:00', '2012-03-01 00:15:00',
               '2012-03-01 00:30:00', '2012-03-01 00:45:00',
               '2012-03-01 01:00:00', '2012-03-01 01:15:00',
               '2012-03-01 01:30:00', '2012-03-01 01:45:00',
               '2012-03-01 02:00:00', '2012-03-01 02:15:00',
               ...
               '2012-03-24 05:45:00', '2012-03-24 06:00:00',
               '2012-03-24 06:15:00', '2012-03-24 06:30:00',
               '2012-03-24 06:45:00', '2012-03-24 07:00:00',
               '2012-03-24 07:15:00', '2012-03-24 07:30:00',
               '2012-03-24 07:45:00', '2012-03-24 08:00:00'],
              dtype='datetime64[ns]', length=327, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-03-01 00:00:00', '2012-03-01 00:15:00',
               '2012-03-01 00:30:00', '2012-03-01 00:45:00',
               '2012-03-01 01:00:00', '2012-03-01 01:15:00',
               '2012-03-01 01:30:00', '2012-03-01 01:45:00',
               '2012-03-01 02:00:00', '2012-03-01 02:15:00',
               '2012-03-01 02:30:00', '2012-03-01 02:45:00',
               '2012-03-01 03:00:00', '2012-03-01 03:15:00',
               '2012-03-01 03:30:00', '2012-03-01 03:45:00',
               '2012-03-01 04:00:00', '2012-03-01 04:15:00',
               '2012-03-01 04:30:00', '2012-03-01 04:45:00',
               '2012-03-01 05:00:00', '2012-03-01 05:15:00',
               '2012-03-01 05:30:00', '2012-03-01 05:45:00',
               '2012-03-01 06:00:00', '2012-03-01 06:15:00',
               '2012-03-01 06:30:00', '2012-03-01 06:45:00',
               '2012-03-01 07:00:00', '2012-03-01 07:15:00',
               '2012-03-01 07:30:00', '2012-03-01 07:45:00',
               '2012-03-01 08:00:00', '2012-03-01 08:15:00',
               '2012-03-01 08:30:00', '2012-03-01 08:45:00',
               '2012-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-03-01 00:00:00', '2012-03-01 00:15:00',
               '2012-03-01 00:30:00', '2012-03-01 00:45:00',
               '2012-03-01 01:00:00', '2012-03-01 01:15:00',
               '2012-03-01 01:30:00', '2012-03-01 01:45:00',
               '2012-03-01 02:00:00', '2012-03-01 02:15:00',
               ...
               '2012-03-27 05:30:00', '2012-03-27 05:45:00',
               '2012-03-27 06:00:00', '2012-03-27 06:15:00',
               '2012-03-27 06:30:00', '2012-03-27 06:45:00',
               '2012-03-27 07:00:00', '2012-03-27 07:15:00',
               '2012-03-27 07:30:00', '2012-03-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:277} Extrapolating ratingData downward for station 15275100.
{L:132} min data value: 1.71, min INDEP value is 1.75
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-03-01 00:00:00', '2012-03-01 00:15:00',
               '2012-03-01 00:30:00', '2012-03-01 00:45:00',
               '2012-03-01 01:00:00', '2012-03-01 01:15:00',
               '2012-03-01 01:30:00', '2012-03-01 01:45:00',
               '2012-03-01 02:00:00', '2012-03-01 02:15:00',
               ...
               '2012-03-27 05:30:00', '2012-03-27 05:45:00',
               '2012-03-27 06:00:00', '2012-03-27 06:15:00',
               '2012-03-27 06:30:00', '2012-03-27 06:45:00',
               '2012-03-27 07:00:00', '2012-03-27 07:15:00',
               '2012-03-27 07:30:00', '2012-03-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-03-30 23:45:00', '2012-03-31 00:00:00',
               '2012-03-31 00:15:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-03-22 08:15:00', '2012-03-22 08:30:00',
               '2012-03-22 08:45:00', '2012-03-22 09:00:00',
               '2012-03-22 09:15:00', '2012-03-22 09:30:00',
               '2012-03-22 09:45:00', '2012-03-22 10:00:00',
               '2012-03-22 10:15:00', '2012-03-22 10:30:00',
               '2012-03-22 10:45:00', '2012-03-22 11:00:00',
               '2012-03-22 11:15:00', '2012-03-22 11:30:00',
               '2012-03-22 11:45:00', '2012-03-22 12:00:00',
               '2012-03-22 12:15:00', '2012-03-22 12:30:00',
               '2012-03-22 12:45:00', '2012-03-22 13:00:00',
               '2012-03-22 13:15:00', '2012-03-22 13:30:00',
               '2012-03-22 13:45:00', '2012-03-22 14:00:00',
               '2012-03-22 14:15:00', '2012-03-22 14:30:00',
               '2012-03-22 14:45:00', '2012-03-22 15:00:00',
               '2012-03-22 15:15:00', '2012-03-22 15:30:00',
               '2012-03-22 15:45:00', '2012-03-22 16:00:00',
               '2012-03-22 16:15:00', '2012-03-22 16:30:00',
               '2012-03-22 16:45:00', '2012-03-22 17:00:00',
               '2012-03-22 17:15:00', '2012-03-22 17:30:00',
               '2012-03-22 17:45:00', '2012-03-22 18:00:00',
               '2012-03-22 18:15:00', '2012-03-22 18:30:00',
               '2012-03-22 18:45:00', '2012-03-22 19:00:00',
               '2012-03-22 19:15:00', '2012-03-22 19:30:00',
               '2012-03-22 19:45:00', '2012-03-22 20:00:00',
               '2012-03-22 20:15:00', '2012-03-22 20:30:00',
               '2012-03-22 20:45:00', '2012-03-22 21:00:00',
               '2012-03-22 21:15:00', '2012-03-22 21:30:00',
               '2012-03-22 21:45:00', '2012-03-22 22:00:00',
               '2012-03-22 22:15:00', '2012-03-22 22:30:00',
               '2012-03-22 22:45:00', '2012-03-22 23:00:00',
               '2012-03-22 23:15:00', '2012-03-22 23:30:00',
               '2012-03-22 23:45:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-3-1T00 to 2012-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-03-01 00:00:00', '2012-03-01 00:15:00',
               '2012-03-01 00:30:00', '2012-03-01 00:45:00',
               '2012-03-01 01:00:00', '2012-03-01 01:15:00',
               '2012-03-01 01:30:00', '2012-03-01 01:45:00',
               '2012-03-01 02:00:00', '2012-03-01 02:15:00',
               '2012-03-01 02:30:00', '2012-03-01 02:45:00',
               '2012-03-01 03:00:00', '2012-03-01 03:15:00',
               '2012-03-01 03:30:00', '2012-03-01 03:45:00',
               '2012-03-01 04:00:00', '2012-03-01 04:15:00',
               '2012-03-01 04:30:00', '2012-03-01 04:45:00',
               '2012-03-01 05:00:00', '2012-03-01 05:15:00',
               '2012-03-01 05:30:00', '2012-03-01 05:45:00',
               '2012-03-01 06:00:00', '2012-03-01 06:15:00',
               '2012-03-01 06:30:00', '2012-03-01 06:45:00',
               '2012-03-01 07:00:00', '2012-03-01 07:15:00',
               '2012-03-01 07:30:00', '2012-03-01 07:45:00',
               '2012-03-01 08:00:00', '2012-03-01 08:15:00',
               '2012-03-01 08:30:00', '2012-03-01 08:45:00',
               '2012-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-03-01 00:00:00', '2012-03-01 00:15:00',
               '2012-03-01 00:30:00', '2012-03-01 00:45:00',
               '2012-03-01 01:00:00', '2012-03-01 01:15:00',
               '2012-03-01 01:30:00', '2012-03-01 01:45:00',
               '2012-03-01 02:00:00', '2012-03-01 02:15:00',
               '2012-03-01 02:30:00', '2012-03-01 02:45:00',
               '2012-03-01 03:00:00', '2012-03-01 03:15:00',
               '2012-03-01 03:30:00', '2012-03-01 03:45:00',
               '2012-03-01 04:00:00', '2012-03-01 04:15:00',
               '2012-03-01 04:30:00', '2012-03-01 04:45:00',
               '2012-03-01 05:00:00', '2012-03-01 05:15:00',
               '2012-03-01 05:30:00', '2012-03-01 05:45:00',
               '2012-03-01 06:00:00', '2012-03-01 06:15:00',
               '2012-03-01 06:30:00', '2012-03-01 06:45:00',
               '2012-03-01 07:00:00', '2012-03-01 07:15:00',
               '2012-03-01 07:30:00', '2012-03-01 07:45:00',
               '2012-03-01 08:00:00', '2012-03-01 08:15:00',
               '2012-03-01 08:30:00', '2012-03-01 08:45:00',
               '2012-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-3-1T00 to 2012-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               ...
               '2012-04-12 05:30:00', '2012-04-12 05:45:00',
               '2012-04-12 06:00:00', '2012-04-12 06:15:00',
               '2012-04-12 06:30:00', '2012-04-12 06:45:00',
               '2012-04-12 07:00:00', '2012-04-12 07:15:00',
               '2012-04-12 07:30:00', '2012-04-12 07:45:00'],
              dtype='datetime64[ns]', length=1088, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               '2012-04-01 02:30:00', '2012-04-01 02:45:00',
               '2012-04-01 03:00:00', '2012-04-01 03:15:00',
               '2012-04-01 03:30:00', '2012-04-01 03:45:00',
               '2012-04-01 04:00:00', '2012-04-01 04:15:00',
               '2012-04-01 04:30:00', '2012-04-01 04:45:00',
               '2012-04-01 05:00:00', '2012-04-01 05:15:00',
               '2012-04-01 05:30:00', '2012-04-01 05:45:00',
               '2012-04-01 06:00:00', '2012-04-01 06:15:00',
               '2012-04-01 06:30:00', '2012-04-01 06:45:00',
               '2012-04-01 07:00:00', '2012-04-01 07:15:00',
               '2012-04-01 07:30:00', '2012-04-01 07:45:00',
               '2012-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               ...
               '2012-04-10 05:30:00', '2012-04-10 05:45:00',
               '2012-04-10 06:00:00', '2012-04-10 06:15:00',
               '2012-04-10 06:30:00', '2012-04-10 06:45:00',
               '2012-04-10 07:00:00', '2012-04-10 07:15:00',
               '2012-04-10 07:30:00', '2012-04-10 07:45:00'],
              dtype='datetime64[ns]', length=896, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               '2012-04-01 02:30:00', '2012-04-01 02:45:00',
               '2012-04-01 03:00:00', '2012-04-01 03:15:00',
               '2012-04-01 03:30:00', '2012-04-01 03:45:00',
               '2012-04-01 04:00:00', '2012-04-01 04:15:00',
               '2012-04-01 04:30:00', '2012-04-01 04:45:00',
               '2012-04-01 05:00:00', '2012-04-01 05:15:00',
               '2012-04-01 05:30:00', '2012-04-01 05:45:00',
               '2012-04-01 06:00:00', '2012-04-01 06:15:00',
               '2012-04-01 06:30:00', '2012-04-01 06:45:00',
               '2012-04-01 07:00:00', '2012-04-01 07:15:00',
               '2012-04-01 07:30:00', '2012-04-01 07:45:00',
               '2012-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               ...
               '2012-04-11 07:15:00', '2012-04-11 07:30:00',
               '2012-04-11 07:45:00', '2012-04-11 08:00:00',
               '2012-04-20 19:30:00', '2012-04-20 19:45:00',
               '2012-04-20 20:00:00', '2012-04-20 20:15:00',
               '2012-04-20 20:30:00', '2012-04-20 20:45:00'],
              dtype='datetime64[ns]', length=523, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               '2012-04-01 02:30:00', '2012-04-01 02:45:00',
               '2012-04-01 03:00:00', '2012-04-01 03:15:00',
               '2012-04-01 03:30:00', '2012-04-01 03:45:00',
               '2012-04-01 04:00:00', '2012-04-01 04:15:00',
               '2012-04-01 04:30:00', '2012-04-01 04:45:00',
               '2012-04-01 05:00:00', '2012-04-01 05:15:00',
               '2012-04-01 05:30:00', '2012-04-01 05:45:00',
               '2012-04-01 06:00:00', '2012-04-01 06:15:00',
               '2012-04-01 06:30:00', '2012-04-01 06:45:00',
               '2012-04-01 07:00:00', '2012-04-01 07:15:00',
               '2012-04-01 07:30:00', '2012-04-01 07:45:00',
               '2012-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               ...
               '2012-04-16 05:30:00', '2012-04-16 05:45:00',
               '2012-04-16 06:00:00', '2012-04-16 06:15:00',
               '2012-04-16 06:30:00', '2012-04-16 06:45:00',
               '2012-04-16 07:00:00', '2012-04-16 07:15:00',
               '2012-04-16 07:30:00', '2012-04-16 07:45:00'],
              dtype='datetime64[ns]', length=1472, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               ...
               '2012-04-07 05:45:00', '2012-04-07 06:00:00',
               '2012-04-07 06:15:00', '2012-04-07 06:30:00',
               '2012-04-07 06:45:00', '2012-04-07 07:00:00',
               '2012-04-07 07:15:00', '2012-04-07 07:30:00',
               '2012-04-07 07:45:00', '2012-04-07 08:00:00'],
              dtype='datetime64[ns]', length=609, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               ...
               '2012-04-29 17:30:00', '2012-04-29 17:45:00',
               '2012-04-29 18:00:00', '2012-04-29 18:15:00',
               '2012-04-29 18:30:00', '2012-04-29 18:45:00',
               '2012-04-29 19:00:00', '2012-04-29 19:15:00',
               '2012-04-29 19:30:00', '2012-04-29 19:45:00'],
              dtype='datetime64[ns]', length=2768, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-4-1T00 to 2012-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               ...
               '2012-04-17 05:30:00', '2012-04-17 05:45:00',
               '2012-04-17 06:00:00', '2012-04-17 06:15:00',
               '2012-04-17 06:30:00', '2012-04-17 06:45:00',
               '2012-04-17 07:00:00', '2012-04-17 07:15:00',
               '2012-04-17 07:30:00', '2012-04-17 07:45:00'],
              dtype='datetime64[ns]', length=1568, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               '2012-04-01 02:30:00', '2012-04-01 02:45:00',
               '2012-04-01 03:00:00', '2012-04-01 03:15:00',
               '2012-04-01 03:30:00', '2012-04-01 03:45:00',
               '2012-04-01 04:00:00', '2012-04-01 04:15:00',
               '2012-04-01 04:30:00', '2012-04-01 04:45:00',
               '2012-04-01 05:00:00', '2012-04-01 05:15:00',
               '2012-04-01 05:30:00', '2012-04-01 05:45:00',
               '2012-04-01 06:00:00', '2012-04-01 06:15:00',
               '2012-04-01 06:30:00', '2012-04-01 06:45:00',
               '2012-04-01 07:00:00', '2012-04-01 07:15:00',
               '2012-04-01 07:30:00', '2012-04-01 07:45:00',
               '2012-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-04-01 00:00:00', '2012-04-01 00:15:00',
               '2012-04-01 00:30:00', '2012-04-01 00:45:00',
               '2012-04-01 01:00:00', '2012-04-01 01:15:00',
               '2012-04-01 01:30:00', '2012-04-01 01:45:00',
               '2012-04-01 02:00:00', '2012-04-01 02:15:00',
               '2012-04-01 02:30:00', '2012-04-01 02:45:00',
               '2012-04-01 03:00:00', '2012-04-01 03:15:00',
               '2012-04-01 03:30:00', '2012-04-01 03:45:00',
               '2012-04-01 04:00:00', '2012-04-01 04:15:00',
               '2012-04-01 04:30:00', '2012-04-01 04:45:00',
               '2012-04-01 05:00:00', '2012-04-01 05:15:00',
               '2012-04-01 05:30:00', '2012-04-01 05:45:00',
               '2012-04-01 06:00:00', '2012-04-01 06:15:00',
               '2012-04-01 06:30:00', '2012-04-01 06:45:00',
               '2012-04-01 07:00:00', '2012-04-01 07:15:00',
               '2012-04-01 07:30:00', '2012-04-01 07:45:00',
               '2012-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-4-1T00 to 2012-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00', '2012-05-06 00:30:00',
               '2012-05-06 00:45:00', '2012-05-06 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               ...
               '2012-05-04 06:00:00', '2012-05-04 06:15:00',
               '2012-05-26 15:00:00', '2012-05-26 15:15:00',
               '2012-05-26 15:30:00', '2012-05-26 15:45:00',
               '2012-05-26 16:00:00', '2012-05-28 06:15:00',
               '2012-05-28 06:30:00', '2012-05-28 06:45:00'],
              dtype='datetime64[ns]', length=144, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               ...
               '2012-05-10 05:45:00', '2012-05-10 06:00:00',
               '2012-05-10 06:15:00', '2012-05-10 06:30:00',
               '2012-05-10 06:45:00', '2012-05-10 07:00:00',
               '2012-05-10 07:15:00', '2012-05-10 07:30:00',
               '2012-05-10 07:45:00', '2012-05-10 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00', '2012-05-07 00:30:00',
               '2012-05-07 00:45:00', '2012-05-07 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               ...
               '2012-05-07 05:45:00', '2012-05-07 06:00:00',
               '2012-05-07 06:15:00', '2012-05-07 06:30:00',
               '2012-05-07 06:45:00', '2012-05-07 07:00:00',
               '2012-05-07 07:15:00', '2012-05-07 07:30:00',
               '2012-05-07 07:45:00', '2012-05-07 08:00:00'],
              dtype='datetime64[ns]', length=609, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-5-1T00 to 2012-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00', '2012-05-26 04:45:00',
               '2012-05-26 05:00:00', '2012-05-26 05:15:00',
               '2012-05-26 05:30:00', '2012-05-26 05:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-05-01 00:00:00', '2012-05-01 00:15:00',
               '2012-05-01 00:30:00', '2012-05-01 00:45:00',
               '2012-05-01 01:00:00', '2012-05-01 01:15:00',
               '2012-05-01 01:30:00', '2012-05-01 01:45:00',
               '2012-05-01 02:00:00', '2012-05-01 02:15:00',
               '2012-05-01 02:30:00', '2012-05-01 02:45:00',
               '2012-05-01 03:00:00', '2012-05-01 03:15:00',
               '2012-05-01 03:30:00', '2012-05-01 03:45:00',
               '2012-05-01 04:00:00', '2012-05-01 04:15:00',
               '2012-05-01 04:30:00', '2012-05-01 04:45:00',
               '2012-05-01 05:00:00', '2012-05-01 05:15:00',
               '2012-05-01 05:30:00', '2012-05-01 05:45:00',
               '2012-05-01 06:00:00', '2012-05-01 06:15:00',
               '2012-05-01 06:30:00', '2012-05-01 06:45:00',
               '2012-05-01 07:00:00', '2012-05-01 07:15:00',
               '2012-05-01 07:30:00', '2012-05-01 07:45:00',
               '2012-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-5-1T00 to 2012-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00', '2012-06-15 18:45:00',
               '2012-06-15 19:00:00', '2012-06-15 19:15:00',
               '2012-06-15 19:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               ...
               '2012-06-29 05:45:00', '2012-06-29 06:00:00',
               '2012-06-29 06:15:00', '2012-06-29 06:30:00',
               '2012-06-29 06:45:00', '2012-06-29 07:00:00',
               '2012-06-29 07:15:00', '2012-06-29 07:30:00',
               '2012-06-29 07:45:00', '2012-06-29 08:00:00'],
              dtype='datetime64[ns]', length=807, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               ...
               '2012-06-09 05:45:00', '2012-06-09 06:00:00',
               '2012-06-09 06:15:00', '2012-06-09 06:30:00',
               '2012-06-09 06:45:00', '2012-06-09 07:00:00',
               '2012-06-09 07:15:00', '2012-06-09 07:30:00',
               '2012-06-09 07:45:00', '2012-06-09 08:00:00'],
              dtype='datetime64[ns]', length=707, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-6-1T00 to 2012-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00', '2012-06-04 07:15:00',
               '2012-06-04 07:30:00', '2012-06-04 07:45:00',
               '2012-06-04 19:30:00', '2012-06-04 19:45:00',
               '2012-06-04 20:00:00', '2012-06-06 18:15:00',
               '2012-06-06 18:30:00', '2012-06-06 18:45:00',
               '2012-06-07 02:30:00', '2012-06-07 02:45:00',
               '2012-06-07 03:00:00', '2012-06-07 03:15:00',
               '2012-06-07 06:15:00', '2012-06-07 06:30:00',
               '2012-06-07 06:45:00', '2012-06-12 08:45:00',
               '2012-06-12 09:00:00', '2012-06-12 09:15:00',
               '2012-06-12 09:30:00', '2012-06-14 16:15:00',
               '2012-06-14 16:30:00', '2012-06-14 16:45:00',
               '2012-06-14 17:00:00', '2012-06-29 20:45:00',
               '2012-06-29 21:00:00', '2012-06-29 21:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               '2012-06-01 02:30:00', '2012-06-01 02:45:00',
               '2012-06-01 03:00:00', '2012-06-01 03:15:00',
               '2012-06-01 03:30:00', '2012-06-01 03:45:00',
               '2012-06-01 04:00:00', '2012-06-01 04:15:00',
               '2012-06-01 04:30:00', '2012-06-01 04:45:00',
               '2012-06-01 05:00:00', '2012-06-01 05:15:00',
               '2012-06-01 05:30:00', '2012-06-01 05:45:00',
               '2012-06-01 06:00:00', '2012-06-01 06:15:00',
               '2012-06-01 06:30:00', '2012-06-01 06:45:00',
               '2012-06-01 07:00:00', '2012-06-01 07:15:00',
               '2012-06-01 07:30:00', '2012-06-01 07:45:00',
               '2012-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2012-06-10 08:00:00', '2012-06-10 08:15:00',
               '2012-06-10 08:30:00', '2012-06-10 08:45:00',
               '2012-06-10 09:00:00', '2012-06-10 09:15:00',
               '2012-06-10 09:30:00', '2012-06-10 09:45:00',
               '2012-06-10 10:00:00', '2012-06-10 10:15:00',
               ...
               '2012-06-30 20:45:00', '2012-06-30 21:00:00',
               '2012-06-30 21:15:00', '2012-06-30 21:30:00',
               '2012-06-30 21:45:00', '2012-06-30 22:00:00',
               '2012-06-30 22:15:00', '2012-06-30 22:30:00',
               '2012-06-30 22:45:00', '2012-06-30 23:00:00'],
              dtype='datetime64[ns]', length=1981, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-06-01 00:00:00', '2012-06-01 00:15:00',
               '2012-06-01 00:30:00', '2012-06-01 00:45:00',
               '2012-06-01 01:00:00', '2012-06-01 01:15:00',
               '2012-06-01 01:30:00', '2012-06-01 01:45:00',
               '2012-06-01 02:00:00', '2012-06-01 02:15:00',
               ...
               '2012-06-06 05:45:00', '2012-06-06 06:00:00',
               '2012-06-06 06:15:00', '2012-06-06 06:30:00',
               '2012-06-06 06:45:00', '2012-06-06 07:00:00',
               '2012-06-06 07:15:00', '2012-06-06 07:30:00',
               '2012-06-06 07:45:00', '2012-06-06 08:00:00'],
              dtype='datetime64[ns]', length=513, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-6-1T00 to 2012-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00', '2012-07-01 18:30:00',
               '2012-07-01 18:45:00', '2012-07-01 19:00:00',
               '2012-07-02 01:15:00', '2012-07-02 01:30:00',
               '2012-07-02 01:45:00', '2012-07-02 04:30:00',
               '2012-07-02 04:45:00', '2012-07-02 05:00:00',
               '2012-07-02 15:15:00', '2012-07-02 15:30:00',
               '2012-07-02 15:45:00', '2012-07-03 09:15:00',
               '2012-07-03 09:30:00', '2012-07-03 09:45:00',
               '2012-07-04 05:45:00', '2012-07-04 06:00:00',
               '2012-07-04 06:15:00', '2012-07-04 17:45:00',
               '2012-07-04 18:00:00', '2012-07-04 18:15:00',
               '2012-07-05 15:30:00', '2012-07-05 15:45:00',
               '2012-07-05 16:00:00', '2012-07-06 16:45:00',
               '2012-07-06 17:00:00', '2012-07-06 17:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               ...
               '2012-07-07 05:45:00', '2012-07-07 06:00:00',
               '2012-07-07 06:15:00', '2012-07-07 06:30:00',
               '2012-07-07 06:45:00', '2012-07-07 07:00:00',
               '2012-07-07 07:15:00', '2012-07-07 07:30:00',
               '2012-07-07 07:45:00', '2012-07-07 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00', '2012-07-05 20:15:00',
               '2012-07-05 20:30:00', '2012-07-05 20:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00', '2012-07-16 13:30:00',
               '2012-07-16 13:45:00', '2012-07-16 14:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-7-1T00 to 2012-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               ...
               '2012-07-31 16:45:00', '2012-07-31 17:00:00',
               '2012-07-31 17:15:00', '2012-07-31 17:30:00',
               '2012-07-31 17:45:00', '2012-07-31 18:15:00',
               '2012-07-31 18:30:00', '2012-07-31 18:45:00',
               '2012-07-31 19:00:00', '2012-07-31 19:15:00'],
              dtype='datetime64[ns]', length=1394, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-07-01 00:00:00', '2012-07-01 00:15:00',
               '2012-07-01 00:30:00', '2012-07-01 00:45:00',
               '2012-07-01 01:00:00', '2012-07-01 01:15:00',
               '2012-07-01 01:30:00', '2012-07-01 01:45:00',
               '2012-07-01 02:00:00', '2012-07-01 02:15:00',
               '2012-07-01 02:30:00', '2012-07-01 02:45:00',
               '2012-07-01 03:00:00', '2012-07-01 03:15:00',
               '2012-07-01 03:30:00', '2012-07-01 03:45:00',
               '2012-07-01 04:00:00', '2012-07-01 04:15:00',
               '2012-07-01 04:30:00', '2012-07-01 04:45:00',
               '2012-07-01 05:00:00', '2012-07-01 05:15:00',
               '2012-07-01 05:30:00', '2012-07-01 05:45:00',
               '2012-07-01 06:00:00', '2012-07-01 06:15:00',
               '2012-07-01 06:30:00', '2012-07-01 06:45:00',
               '2012-07-01 07:00:00', '2012-07-01 07:15:00',
               '2012-07-01 07:30:00', '2012-07-01 07:45:00',
               '2012-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-7-1T00 to 2012-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00', '2012-08-14 00:15:00',
               '2012-08-14 00:30:00', '2012-08-14 00:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               ...
               '2012-08-29 05:45:00', '2012-08-29 06:00:00',
               '2012-08-29 06:15:00', '2012-08-29 06:30:00',
               '2012-08-29 06:45:00', '2012-08-29 07:00:00',
               '2012-08-29 07:15:00', '2012-08-29 07:30:00',
               '2012-08-29 07:45:00', '2012-08-29 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               ...
               '2012-08-04 05:45:00', '2012-08-04 06:00:00',
               '2012-08-04 06:15:00', '2012-08-04 06:30:00',
               '2012-08-04 06:45:00', '2012-08-04 07:00:00',
               '2012-08-04 07:15:00', '2012-08-04 07:30:00',
               '2012-08-04 07:45:00', '2012-08-04 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-8-1T00 to 2012-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               ...
               '2012-08-31 20:45:00', '2012-08-31 21:00:00',
               '2012-08-31 21:15:00', '2012-08-31 21:30:00',
               '2012-08-31 21:45:00', '2012-08-31 22:00:00',
               '2012-08-31 22:15:00', '2012-08-31 22:30:00',
               '2012-08-31 22:45:00', '2012-08-31 23:00:00'],
              dtype='datetime64[ns]', length=1947, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-08-01 00:00:00', '2012-08-01 00:15:00',
               '2012-08-01 00:30:00', '2012-08-01 00:45:00',
               '2012-08-01 01:00:00', '2012-08-01 01:15:00',
               '2012-08-01 01:30:00', '2012-08-01 01:45:00',
               '2012-08-01 02:00:00', '2012-08-01 02:15:00',
               '2012-08-01 02:30:00', '2012-08-01 02:45:00',
               '2012-08-01 03:00:00', '2012-08-01 03:15:00',
               '2012-08-01 03:30:00', '2012-08-01 03:45:00',
               '2012-08-01 04:00:00', '2012-08-01 04:15:00',
               '2012-08-01 04:30:00', '2012-08-01 04:45:00',
               '2012-08-01 05:00:00', '2012-08-01 05:15:00',
               '2012-08-01 05:30:00', '2012-08-01 05:45:00',
               '2012-08-01 06:00:00', '2012-08-01 06:15:00',
               '2012-08-01 06:30:00', '2012-08-01 06:45:00',
               '2012-08-01 07:00:00', '2012-08-01 07:15:00',
               '2012-08-01 07:30:00', '2012-08-01 07:45:00',
               '2012-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-8-1T00 to 2012-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               ...
               '2012-09-15 15:00:00', '2012-09-16 21:15:00',
               '2012-09-16 21:30:00', '2012-09-16 21:45:00',
               '2012-09-18 12:00:00', '2012-09-18 12:15:00',
               '2012-09-18 12:30:00', '2012-09-20 08:30:00',
               '2012-09-20 08:45:00', '2012-09-20 09:00:00'],
              dtype='datetime64[ns]', length=280, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               ...
               '2012-09-19 05:45:00', '2012-09-19 06:00:00',
               '2012-09-19 06:15:00', '2012-09-19 06:30:00',
               '2012-09-19 06:45:00', '2012-09-19 07:00:00',
               '2012-09-19 07:15:00', '2012-09-19 07:30:00',
               '2012-09-19 07:45:00', '2012-09-19 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-9-1T00 to 2012-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2012-09-20 08:00:00', '2012-09-20 08:15:00',
               '2012-09-20 08:30:00', '2012-09-20 08:45:00',
               '2012-09-20 09:00:00', '2012-09-20 09:15:00',
               '2012-09-20 09:30:00', '2012-09-20 09:45:00',
               '2012-09-20 10:00:00', '2012-09-20 10:15:00',
               ...
               '2012-09-29 05:30:00', '2012-09-29 05:45:00',
               '2012-09-29 06:00:00', '2012-09-29 06:15:00',
               '2012-09-29 06:30:00', '2012-09-29 06:45:00',
               '2012-09-29 07:00:00', '2012-09-29 07:15:00',
               '2012-09-29 07:30:00', '2012-09-29 07:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               ...
               '2012-09-19 04:00:00', '2012-09-19 04:15:00',
               '2012-09-19 04:30:00', '2012-09-19 17:15:00',
               '2012-09-19 17:30:00', '2012-09-19 17:45:00',
               '2012-09-19 18:00:00', '2012-09-19 18:15:00',
               '2012-09-19 18:30:00', '2012-09-19 18:45:00'],
              dtype='datetime64[ns]', length=1051, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-09-01 00:00:00', '2012-09-01 00:15:00',
               '2012-09-01 00:30:00', '2012-09-01 00:45:00',
               '2012-09-01 01:00:00', '2012-09-01 01:15:00',
               '2012-09-01 01:30:00', '2012-09-01 01:45:00',
               '2012-09-01 02:00:00', '2012-09-01 02:15:00',
               '2012-09-01 02:30:00', '2012-09-01 02:45:00',
               '2012-09-01 03:00:00', '2012-09-01 03:15:00',
               '2012-09-01 03:30:00', '2012-09-01 03:45:00',
               '2012-09-01 04:00:00', '2012-09-01 04:15:00',
               '2012-09-01 04:30:00', '2012-09-01 04:45:00',
               '2012-09-01 05:00:00', '2012-09-01 05:15:00',
               '2012-09-01 05:30:00', '2012-09-01 05:45:00',
               '2012-09-01 06:00:00', '2012-09-01 06:15:00',
               '2012-09-01 06:30:00', '2012-09-01 06:45:00',
               '2012-09-01 07:00:00', '2012-09-01 07:15:00',
               '2012-09-01 07:30:00', '2012-09-01 07:45:00',
               '2012-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-9-1T00 to 2012-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-10-22 08:00:00', '2012-10-22 08:15:00',
               '2012-10-22 08:30:00', '2012-10-22 08:45:00',
               '2012-10-22 09:00:00', '2012-10-22 09:15:00',
               '2012-10-22 09:30:00', '2012-10-22 09:45:00',
               '2012-10-22 10:00:00', '2012-10-22 10:15:00',
               ...
               '2012-10-31 05:30:00', '2012-10-31 05:45:00',
               '2012-10-31 06:00:00', '2012-10-31 06:15:00',
               '2012-10-31 06:30:00', '2012-10-31 06:45:00',
               '2012-10-31 07:00:00', '2012-10-31 07:15:00',
               '2012-10-31 07:30:00', '2012-10-31 07:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               ...
               '2012-10-31 20:45:00', '2012-10-31 21:00:00',
               '2012-10-31 21:15:00', '2012-10-31 21:30:00',
               '2012-10-31 21:45:00', '2012-10-31 22:00:00',
               '2012-10-31 22:15:00', '2012-10-31 22:30:00',
               '2012-10-31 22:45:00', '2012-10-31 23:00:00'],
              dtype='datetime64[ns]', length=510, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2012-10-19 19:45:00', '2012-10-19 20:00:00',
               '2012-10-19 20:15:00', '2012-10-19 20:30:00',
               '2012-10-19 20:45:00', '2012-10-19 21:00:00',
               '2012-10-19 21:15:00', '2012-10-19 21:30:00',
               '2012-10-19 21:45:00', '2012-10-19 22:00:00',
               ...
               '2012-10-31 20:45:00', '2012-10-31 21:00:00',
               '2012-10-31 21:15:00', '2012-10-31 21:30:00',
               '2012-10-31 21:45:00', '2012-10-31 22:00:00',
               '2012-10-31 22:15:00', '2012-10-31 22:30:00',
               '2012-10-31 22:45:00', '2012-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1166, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-10-19 08:00:00', '2012-10-19 08:15:00',
               '2012-10-19 08:30:00', '2012-10-19 08:45:00',
               '2012-10-19 09:00:00', '2012-10-19 09:15:00',
               '2012-10-19 09:30:00', '2012-10-19 09:45:00',
               '2012-10-19 10:00:00', '2012-10-19 10:15:00',
               ...
               '2012-10-31 20:45:00', '2012-10-31 21:00:00',
               '2012-10-31 21:15:00', '2012-10-31 21:30:00',
               '2012-10-31 21:45:00', '2012-10-31 22:00:00',
               '2012-10-31 22:15:00', '2012-10-31 22:30:00',
               '2012-10-31 22:45:00', '2012-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1213, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               ...
               '2012-10-21 05:45:00', '2012-10-21 06:00:00',
               '2012-10-21 06:15:00', '2012-10-21 06:30:00',
               '2012-10-21 06:45:00', '2012-10-21 07:00:00',
               '2012-10-21 07:15:00', '2012-10-21 07:30:00',
               '2012-10-21 07:45:00', '2012-10-21 08:00:00'],
              dtype='datetime64[ns]', length=707, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00', '2012-10-02 21:00:00',
               '2012-10-02 21:15:00', '2012-10-02 21:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               ...
               '2012-10-31 20:45:00', '2012-10-31 21:00:00',
               '2012-10-31 21:15:00', '2012-10-31 21:30:00',
               '2012-10-31 21:45:00', '2012-10-31 22:00:00',
               '2012-10-31 22:15:00', '2012-10-31 22:30:00',
               '2012-10-31 22:45:00', '2012-10-31 23:00:00'],
              dtype='datetime64[ns]', length=383, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-10-14 08:00:00', '2012-10-14 08:15:00',
               '2012-10-14 08:30:00', '2012-10-14 08:45:00',
               '2012-10-14 09:00:00', '2012-10-14 09:15:00',
               '2012-10-14 09:30:00', '2012-10-14 09:45:00',
               '2012-10-14 10:00:00', '2012-10-14 10:15:00',
               ...
               '2012-10-31 20:45:00', '2012-10-31 21:00:00',
               '2012-10-31 21:15:00', '2012-10-31 21:30:00',
               '2012-10-31 21:45:00', '2012-10-31 22:00:00',
               '2012-10-31 22:15:00', '2012-10-31 22:30:00',
               '2012-10-31 22:45:00', '2012-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1693, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-10-1T00 to 2012-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-10-20 08:00:00', '2012-10-20 08:15:00',
               '2012-10-20 08:30:00', '2012-10-20 08:45:00',
               '2012-10-20 09:00:00', '2012-10-20 09:15:00',
               '2012-10-20 09:30:00', '2012-10-20 09:45:00',
               '2012-10-20 10:00:00', '2012-10-20 10:15:00',
               ...
               '2012-10-31 20:45:00', '2012-10-31 21:00:00',
               '2012-10-31 21:15:00', '2012-10-31 21:30:00',
               '2012-10-31 21:45:00', '2012-10-31 22:00:00',
               '2012-10-31 22:15:00', '2012-10-31 22:30:00',
               '2012-10-31 22:45:00', '2012-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1117, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               ...
               '2012-10-11 05:45:00', '2012-10-11 06:00:00',
               '2012-10-11 06:15:00', '2012-10-11 06:30:00',
               '2012-10-11 06:45:00', '2012-10-11 07:00:00',
               '2012-10-11 07:15:00', '2012-10-11 07:30:00',
               '2012-10-11 07:45:00', '2012-10-11 08:00:00'],
              dtype='datetime64[ns]', length=331, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-10-01 00:00:00', '2012-10-01 00:15:00',
               '2012-10-01 00:30:00', '2012-10-01 00:45:00',
               '2012-10-01 01:00:00', '2012-10-01 01:15:00',
               '2012-10-01 01:30:00', '2012-10-01 01:45:00',
               '2012-10-01 02:00:00', '2012-10-01 02:15:00',
               '2012-10-01 02:30:00', '2012-10-01 02:45:00',
               '2012-10-01 03:00:00', '2012-10-01 03:15:00',
               '2012-10-01 03:30:00', '2012-10-01 03:45:00',
               '2012-10-01 04:00:00', '2012-10-01 04:15:00',
               '2012-10-01 04:30:00', '2012-10-01 04:45:00',
               '2012-10-01 05:00:00', '2012-10-01 05:15:00',
               '2012-10-01 05:30:00', '2012-10-01 05:45:00',
               '2012-10-01 06:00:00', '2012-10-01 06:15:00',
               '2012-10-01 06:30:00', '2012-10-01 06:45:00',
               '2012-10-01 07:00:00', '2012-10-01 07:15:00',
               '2012-10-01 07:30:00', '2012-10-01 07:45:00',
               '2012-10-01 08:00:00', '2012-10-31 07:45:00',
               '2012-10-31 08:00:00', '2012-10-31 08:15:00',
               '2012-10-31 08:30:00', '2012-10-31 08:45:00',
               '2012-10-31 09:00:00', '2012-10-31 09:15:00',
               '2012-10-31 09:30:00', '2012-10-31 09:45:00',
               '2012-10-31 10:00:00', '2012-10-31 10:15:00',
               '2012-10-31 10:30:00', '2012-10-31 10:45:00',
               '2012-10-31 11:00:00', '2012-10-31 11:15:00',
               '2012-10-31 11:30:00', '2012-10-31 11:45:00',
               '2012-10-31 12:00:00', '2012-10-31 12:15:00',
               '2012-10-31 12:30:00', '2012-10-31 12:45:00',
               '2012-10-31 13:00:00', '2012-10-31 13:15:00',
               '2012-10-31 13:30:00', '2012-10-31 13:45:00',
               '2012-10-31 14:00:00', '2012-10-31 14:15:00',
               '2012-10-31 14:30:00', '2012-10-31 14:45:00',
               '2012-10-31 15:00:00', '2012-10-31 15:15:00',
               '2012-10-31 15:30:00', '2012-10-31 15:45:00',
               '2012-10-31 16:00:00', '2012-10-31 16:15:00',
               '2012-10-31 16:30:00', '2012-10-31 16:45:00',
               '2012-10-31 17:00:00', '2012-10-31 17:15:00',
               '2012-10-31 17:30:00', '2012-10-31 17:45:00',
               '2012-10-31 18:00:00', '2012-10-31 18:15:00',
               '2012-10-31 18:30:00', '2012-10-31 18:45:00',
               '2012-10-31 19:00:00', '2012-10-31 19:15:00',
               '2012-10-31 19:30:00', '2012-10-31 19:45:00',
               '2012-10-31 20:00:00', '2012-10-31 20:15:00',
               '2012-10-31 20:30:00', '2012-10-31 20:45:00',
               '2012-10-31 21:00:00', '2012-10-31 21:15:00',
               '2012-10-31 21:30:00', '2012-10-31 21:45:00',
               '2012-10-31 22:00:00', '2012-10-31 22:15:00',
               '2012-10-31 22:30:00', '2012-10-31 22:45:00',
               '2012-10-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-10-1T00 to 2012-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 8.28, max INDEP value is 7.15
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-11-17 09:00:00', '2012-11-17 09:15:00',
               '2012-11-17 09:30:00', '2012-11-17 09:45:00',
               '2012-11-17 10:00:00', '2012-11-17 10:15:00',
               '2012-11-17 10:30:00', '2012-11-17 10:45:00',
               '2012-11-17 11:00:00', '2012-11-17 11:15:00',
               ...
               '2012-11-30 20:45:00', '2012-11-30 21:00:00',
               '2012-11-30 21:15:00', '2012-11-30 21:30:00',
               '2012-11-30 21:45:00', '2012-11-30 22:00:00',
               '2012-11-30 22:15:00', '2012-11-30 22:30:00',
               '2012-11-30 22:45:00', '2012-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1305, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               ...
               '2012-11-14 06:45:00', '2012-11-14 07:00:00',
               '2012-11-14 07:15:00', '2012-11-14 07:30:00',
               '2012-11-14 07:45:00', '2012-11-14 08:00:00',
               '2012-11-14 08:15:00', '2012-11-14 08:30:00',
               '2012-11-14 08:45:00', '2012-11-14 09:00:00'],
              dtype='datetime64[ns]', length=707, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               ...
               '2012-11-30 20:45:00', '2012-11-30 21:00:00',
               '2012-11-30 21:15:00', '2012-11-30 21:30:00',
               '2012-11-30 21:45:00', '2012-11-30 22:00:00',
               '2012-11-30 22:15:00', '2012-11-30 22:30:00',
               '2012-11-30 22:45:00', '2012-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2498, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-11-17 09:00:00', '2012-11-17 09:15:00',
               '2012-11-17 09:30:00', '2012-11-17 09:45:00',
               '2012-11-17 10:00:00', '2012-11-17 10:15:00',
               '2012-11-17 10:30:00', '2012-11-17 10:45:00',
               '2012-11-17 11:00:00', '2012-11-17 11:15:00',
               ...
               '2012-11-30 20:45:00', '2012-11-30 21:00:00',
               '2012-11-30 21:15:00', '2012-11-30 21:30:00',
               '2012-11-30 21:45:00', '2012-11-30 22:00:00',
               '2012-11-30 22:15:00', '2012-11-30 22:30:00',
               '2012-11-30 22:45:00', '2012-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1305, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               '2012-11-01 02:30:00', '2012-11-01 02:45:00',
               '2012-11-01 03:00:00', '2012-11-01 03:15:00',
               '2012-11-01 03:30:00', '2012-11-01 03:45:00',
               '2012-11-01 04:00:00', '2012-11-01 04:15:00',
               '2012-11-01 04:30:00', '2012-11-01 04:45:00',
               '2012-11-01 05:00:00', '2012-11-01 05:15:00',
               '2012-11-01 05:30:00', '2012-11-01 05:45:00',
               '2012-11-01 06:00:00', '2012-11-01 06:15:00',
               '2012-11-01 06:30:00', '2012-11-01 06:45:00',
               '2012-11-01 07:00:00', '2012-11-01 07:15:00',
               '2012-11-01 07:30:00', '2012-11-01 07:45:00',
               '2012-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               '2012-11-01 02:30:00', '2012-11-01 02:45:00',
               '2012-11-01 03:00:00', '2012-11-01 03:15:00',
               '2012-11-01 03:30:00', '2012-11-01 03:45:00',
               '2012-11-01 04:00:00', '2012-11-01 04:15:00',
               '2012-11-01 04:30:00', '2012-11-01 04:45:00',
               '2012-11-01 05:00:00', '2012-11-01 05:15:00',
               '2012-11-01 05:30:00', '2012-11-01 05:45:00',
               '2012-11-01 06:00:00', '2012-11-01 06:15:00',
               '2012-11-01 06:30:00', '2012-11-01 06:45:00',
               '2012-11-01 07:00:00', '2012-11-01 07:15:00',
               '2012-11-01 07:30:00', '2012-11-01 07:45:00',
               '2012-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-11-12 09:00:00', '2012-11-12 09:15:00',
               '2012-11-12 09:30:00', '2012-11-12 09:45:00',
               '2012-11-12 10:00:00', '2012-11-12 10:15:00',
               '2012-11-12 10:30:00', '2012-11-12 10:45:00',
               '2012-11-12 11:00:00', '2012-11-12 11:15:00',
               ...
               '2012-11-30 20:45:00', '2012-11-30 21:00:00',
               '2012-11-30 21:15:00', '2012-11-30 21:30:00',
               '2012-11-30 21:45:00', '2012-11-30 22:00:00',
               '2012-11-30 22:15:00', '2012-11-30 22:30:00',
               '2012-11-30 22:45:00', '2012-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1785, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               '2012-11-01 02:30:00', '2012-11-01 02:45:00',
               '2012-11-01 03:00:00', '2012-11-01 03:15:00',
               '2012-11-01 03:30:00', '2012-11-01 03:45:00',
               '2012-11-01 04:00:00', '2012-11-01 04:15:00',
               '2012-11-01 04:30:00', '2012-11-01 04:45:00',
               '2012-11-01 05:00:00', '2012-11-01 05:15:00',
               '2012-11-01 05:30:00', '2012-11-01 05:45:00',
               '2012-11-01 06:00:00', '2012-11-01 06:15:00',
               '2012-11-01 06:30:00', '2012-11-01 06:45:00',
               '2012-11-01 07:00:00', '2012-11-01 07:15:00',
               '2012-11-01 07:30:00', '2012-11-01 07:45:00',
               '2012-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-11-19 09:00:00', '2012-11-19 09:15:00',
               '2012-11-19 09:30:00', '2012-11-19 09:45:00',
               '2012-11-19 10:00:00', '2012-11-19 10:15:00',
               '2012-11-19 10:30:00', '2012-11-19 10:45:00',
               '2012-11-19 11:00:00', '2012-11-19 11:15:00',
               ...
               '2012-11-30 20:45:00', '2012-11-30 21:00:00',
               '2012-11-30 21:15:00', '2012-11-30 21:30:00',
               '2012-11-30 21:45:00', '2012-11-30 22:00:00',
               '2012-11-30 22:15:00', '2012-11-30 22:30:00',
               '2012-11-30 22:45:00', '2012-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1113, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               ...
               '2012-11-08 06:45:00', '2012-11-08 07:00:00',
               '2012-11-08 07:15:00', '2012-11-08 07:30:00',
               '2012-11-08 07:45:00', '2012-11-08 08:00:00',
               '2012-11-08 08:15:00', '2012-11-08 08:30:00',
               '2012-11-08 08:45:00', '2012-11-08 09:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2012-11-17 09:00:00', '2012-11-17 09:15:00',
               '2012-11-17 09:30:00', '2012-11-17 09:45:00',
               '2012-11-17 10:00:00', '2012-11-17 10:15:00',
               '2012-11-17 10:30:00', '2012-11-17 10:45:00',
               '2012-11-17 11:00:00', '2012-11-17 11:15:00',
               ...
               '2012-11-30 20:45:00', '2012-11-30 21:00:00',
               '2012-11-30 21:15:00', '2012-11-30 21:30:00',
               '2012-11-30 21:45:00', '2012-11-30 22:00:00',
               '2012-11-30 22:15:00', '2012-11-30 22:30:00',
               '2012-11-30 22:45:00', '2012-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1305, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               '2012-11-01 02:30:00', '2012-11-01 02:45:00',
               '2012-11-01 03:00:00', '2012-11-01 03:15:00',
               '2012-11-01 03:30:00', '2012-11-01 03:45:00',
               '2012-11-01 04:00:00', '2012-11-01 04:15:00',
               '2012-11-01 04:30:00', '2012-11-01 04:45:00',
               '2012-11-01 05:00:00', '2012-11-01 05:15:00',
               '2012-11-01 05:30:00', '2012-11-01 05:45:00',
               '2012-11-01 06:00:00', '2012-11-01 06:15:00',
               '2012-11-01 06:30:00', '2012-11-01 06:45:00',
               '2012-11-01 07:00:00', '2012-11-01 07:15:00',
               '2012-11-01 07:30:00', '2012-11-01 07:45:00',
               '2012-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-11-1T00 to 2012-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               '2012-11-01 02:30:00', '2012-11-01 02:45:00',
               '2012-11-01 03:00:00', '2012-11-01 03:15:00',
               '2012-11-01 03:30:00', '2012-11-01 03:45:00',
               '2012-11-01 04:00:00', '2012-11-01 04:15:00',
               '2012-11-01 04:30:00', '2012-11-01 04:45:00',
               '2012-11-01 05:00:00', '2012-11-01 05:15:00',
               '2012-11-01 05:30:00', '2012-11-01 05:45:00',
               '2012-11-01 06:00:00', '2012-11-01 06:15:00',
               '2012-11-01 06:30:00', '2012-11-01 06:45:00',
               '2012-11-01 07:00:00', '2012-11-01 07:15:00',
               '2012-11-01 07:30:00', '2012-11-01 07:45:00',
               '2012-11-01 08:00:00', '2012-11-12 03:00:00',
               '2012-11-12 03:15:00', '2012-11-12 03:30:00',
               '2012-11-15 05:00:00', '2012-11-15 05:15:00',
               '2012-11-15 05:30:00', '2012-11-15 06:30:00',
               '2012-11-15 06:45:00', '2012-11-15 07:00:00',
               '2012-11-15 21:30:00', '2012-11-15 21:45:00',
               '2012-11-15 22:00:00', '2012-11-15 22:15:00',
               '2012-11-15 22:30:00', '2012-11-15 22:45:00',
               '2012-11-15 23:00:00', '2012-11-15 23:15:00',
               '2012-11-15 23:30:00', '2012-11-15 23:45:00',
               '2012-11-16 13:00:00', '2012-11-16 13:15:00',
               '2012-11-16 13:30:00', '2012-11-16 13:45:00',
               '2012-11-16 14:00:00', '2012-11-16 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               '2012-11-01 02:30:00', '2012-11-01 02:45:00',
               '2012-11-01 03:00:00', '2012-11-01 03:15:00',
               '2012-11-01 03:30:00', '2012-11-01 03:45:00',
               '2012-11-01 04:00:00', '2012-11-01 04:15:00',
               '2012-11-01 04:30:00', '2012-11-01 04:45:00',
               '2012-11-01 05:00:00', '2012-11-01 05:15:00',
               '2012-11-01 05:30:00', '2012-11-01 05:45:00',
               '2012-11-01 06:00:00', '2012-11-01 06:15:00',
               '2012-11-01 06:30:00', '2012-11-01 06:45:00',
               '2012-11-01 07:00:00', '2012-11-01 07:15:00',
               '2012-11-01 07:30:00', '2012-11-01 07:45:00',
               '2012-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-11-01 00:00:00', '2012-11-01 00:15:00',
               '2012-11-01 00:30:00', '2012-11-01 00:45:00',
               '2012-11-01 01:00:00', '2012-11-01 01:15:00',
               '2012-11-01 01:30:00', '2012-11-01 01:45:00',
               '2012-11-01 02:00:00', '2012-11-01 02:15:00',
               ...
               '2012-11-30 20:45:00', '2012-11-30 21:00:00',
               '2012-11-30 21:15:00', '2012-11-30 21:30:00',
               '2012-11-30 21:45:00', '2012-11-30 22:00:00',
               '2012-11-30 22:15:00', '2012-11-30 22:30:00',
               '2012-11-30 22:45:00', '2012-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1055, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-11-1T00 to 2012-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 11.88, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-12-01 00:00:00', '2012-12-01 00:15:00',
               '2012-12-01 00:30:00', '2012-12-01 00:45:00',
               '2012-12-01 01:00:00', '2012-12-01 01:15:00',
               '2012-12-01 01:30:00', '2012-12-01 01:45:00',
               '2012-12-01 02:00:00', '2012-12-01 02:15:00',
               ...
               '2012-12-25 16:30:00', '2012-12-25 16:45:00',
               '2012-12-25 17:00:00', '2012-12-25 17:15:00',
               '2012-12-25 17:30:00', '2012-12-25 17:45:00',
               '2012-12-25 18:00:00', '2012-12-25 18:15:00',
               '2012-12-25 18:30:00', '2012-12-25 18:45:00'],
              dtype='datetime64[ns]', length=985, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-12-01 00:00:00', '2012-12-01 00:15:00',
               '2012-12-01 00:30:00', '2012-12-01 00:45:00',
               '2012-12-01 01:00:00', '2012-12-01 01:15:00',
               '2012-12-01 01:30:00', '2012-12-01 01:45:00',
               '2012-12-01 02:00:00', '2012-12-01 02:15:00',
               '2012-12-01 02:30:00', '2012-12-01 02:45:00',
               '2012-12-01 03:00:00', '2012-12-01 03:15:00',
               '2012-12-01 03:30:00', '2012-12-01 03:45:00',
               '2012-12-01 04:00:00', '2012-12-01 04:15:00',
               '2012-12-01 04:30:00', '2012-12-01 04:45:00',
               '2012-12-01 05:00:00', '2012-12-01 05:15:00',
               '2012-12-01 05:30:00', '2012-12-01 05:45:00',
               '2012-12-01 06:00:00', '2012-12-01 06:15:00',
               '2012-12-01 06:30:00', '2012-12-01 06:45:00',
               '2012-12-01 07:00:00', '2012-12-01 07:15:00',
               '2012-12-01 07:30:00', '2012-12-01 07:45:00',
               '2012-12-01 08:00:00', '2012-12-01 08:15:00',
               '2012-12-01 08:30:00', '2012-12-01 08:45:00',
               '2012-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2012-12-1T00 to 2012-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-12-01 00:00:00', '2012-12-01 00:15:00',
               '2012-12-01 00:30:00', '2012-12-01 00:45:00',
               '2012-12-01 01:00:00', '2012-12-01 01:15:00',
               '2012-12-01 01:30:00', '2012-12-01 01:45:00',
               '2012-12-01 02:00:00', '2012-12-01 02:15:00',
               '2012-12-01 02:30:00', '2012-12-01 02:45:00',
               '2012-12-01 03:00:00', '2012-12-01 03:15:00',
               '2012-12-01 03:30:00', '2012-12-01 03:45:00',
               '2012-12-01 04:00:00', '2012-12-01 04:15:00',
               '2012-12-01 04:30:00', '2012-12-01 04:45:00',
               '2012-12-01 05:00:00', '2012-12-01 05:15:00',
               '2012-12-01 05:30:00', '2012-12-01 05:45:00',
               '2012-12-01 06:00:00', '2012-12-01 06:15:00',
               '2012-12-01 06:30:00', '2012-12-01 06:45:00',
               '2012-12-01 07:00:00', '2012-12-01 07:15:00',
               '2012-12-01 07:30:00', '2012-12-01 07:45:00',
               '2012-12-01 08:00:00', '2012-12-01 08:15:00',
               '2012-12-01 08:30:00', '2012-12-01 08:45:00',
               '2012-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2012-12-01 00:00:00', '2012-12-01 00:15:00',
               '2012-12-01 00:30:00', '2012-12-01 00:45:00',
               '2012-12-01 01:00:00', '2012-12-01 01:15:00',
               '2012-12-01 01:30:00', '2012-12-01 01:45:00',
               '2012-12-01 02:00:00', '2012-12-01 02:15:00',
               '2012-12-01 02:30:00', '2012-12-01 02:45:00',
               '2012-12-01 03:00:00', '2012-12-01 03:15:00',
               '2012-12-01 03:30:00', '2012-12-01 03:45:00',
               '2012-12-01 04:00:00', '2012-12-01 04:15:00',
               '2012-12-01 04:30:00', '2012-12-01 04:45:00',
               '2012-12-01 05:00:00', '2012-12-01 05:15:00',
               '2012-12-01 05:30:00', '2012-12-01 05:45:00',
               '2012-12-01 06:00:00', '2012-12-01 06:15:00',
               '2012-12-01 06:30:00', '2012-12-01 06:45:00',
               '2012-12-01 07:00:00', '2012-12-01 07:15:00',
               '2012-12-01 07:30:00', '2012-12-01 07:45:00',
               '2012-12-01 08:00:00', '2012-12-01 08:15:00',
               '2012-12-01 08:30:00', '2012-12-01 08:45:00',
               '2012-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2012-12-01 00:00:00', '2012-12-01 00:15:00',
               '2012-12-01 00:30:00', '2012-12-01 00:45:00',
               '2012-12-01 01:00:00', '2012-12-01 01:15:00',
               '2012-12-01 01:30:00', '2012-12-01 01:45:00',
               '2012-12-01 02:00:00', '2012-12-01 02:15:00',
               ...
               '2012-12-16 06:30:00', '2012-12-16 06:45:00',
               '2012-12-16 07:00:00', '2012-12-16 07:15:00',
               '2012-12-16 07:30:00', '2012-12-16 07:45:00',
               '2012-12-16 08:00:00', '2012-12-16 08:15:00',
               '2012-12-16 08:30:00', '2012-12-16 08:45:00'],
              dtype='datetime64[ns]', length=1476, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2012-12-1T00 to 2012-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2013

year = 2013
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.26, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-01 00:00:00', '2013-01-01 00:15:00',
               '2013-01-01 00:30:00', '2013-01-01 00:45:00',
               '2013-01-01 01:00:00', '2013-01-01 01:15:00',
               '2013-01-01 01:30:00', '2013-01-01 01:45:00',
               '2013-01-01 02:00:00', '2013-01-01 02:15:00',
               ...
               '2013-01-31 20:45:00', '2013-01-31 21:00:00',
               '2013-01-31 21:15:00', '2013-01-31 21:30:00',
               '2013-01-31 21:45:00', '2013-01-31 22:00:00',
               '2013-01-31 22:15:00', '2013-01-31 22:30:00',
               '2013-01-31 22:45:00', '2013-01-31 23:00:00'],
              dtype='datetime64[ns]', length=838, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-01 00:00:00', '2013-01-01 00:15:00',
               '2013-01-01 00:30:00', '2013-01-01 00:45:00',
               '2013-01-01 01:00:00', '2013-01-01 01:15:00',
               '2013-01-01 01:30:00', '2013-01-01 01:45:00',
               '2013-01-01 02:00:00', '2013-01-01 02:15:00',
               '2013-01-01 02:30:00', '2013-01-01 02:45:00',
               '2013-01-01 03:00:00', '2013-01-01 03:15:00',
               '2013-01-01 03:30:00', '2013-01-01 03:45:00',
               '2013-01-01 04:00:00', '2013-01-01 04:15:00',
               '2013-01-01 04:30:00', '2013-01-01 04:45:00',
               '2013-01-01 05:00:00', '2013-01-01 05:15:00',
               '2013-01-01 05:30:00', '2013-01-01 05:45:00',
               '2013-01-01 06:00:00', '2013-01-01 06:15:00',
               '2013-01-01 06:30:00', '2013-01-01 06:45:00',
               '2013-01-01 07:00:00', '2013-01-01 07:15:00',
               '2013-01-01 07:30:00', '2013-01-01 07:45:00',
               '2013-01-01 08:00:00', '2013-01-01 08:15:00',
               '2013-01-01 08:30:00', '2013-01-01 08:45:00',
               '2013-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-01-09 09:00:00', '2013-01-09 09:15:00',
               '2013-01-09 09:30:00', '2013-01-09 09:45:00',
               '2013-01-09 10:00:00', '2013-01-09 10:15:00',
               '2013-01-09 10:30:00', '2013-01-09 10:45:00',
               '2013-01-09 11:00:00', '2013-01-09 11:15:00',
               ...
               '2013-01-20 06:30:00', '2013-01-20 06:45:00',
               '2013-01-20 07:00:00', '2013-01-20 07:15:00',
               '2013-01-20 07:30:00', '2013-01-20 07:45:00',
               '2013-01-20 08:00:00', '2013-01-20 08:15:00',
               '2013-01-20 08:30:00', '2013-01-20 08:45:00'],
              dtype='datetime64[ns]', length=1056, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-01 00:00:00', '2013-01-01 00:15:00',
               '2013-01-01 00:30:00', '2013-01-01 00:45:00',
               '2013-01-01 01:00:00', '2013-01-01 01:15:00',
               '2013-01-01 01:30:00', '2013-01-01 01:45:00',
               '2013-01-01 02:00:00', '2013-01-01 02:15:00',
               ...
               '2013-01-31 20:45:00', '2013-01-31 21:00:00',
               '2013-01-31 21:15:00', '2013-01-31 21:30:00',
               '2013-01-31 21:45:00', '2013-01-31 22:00:00',
               '2013-01-31 22:15:00', '2013-01-31 22:30:00',
               '2013-01-31 22:45:00', '2013-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1343, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-01-01 00:00:00', '2013-01-01 00:15:00',
               '2013-01-01 00:30:00', '2013-01-01 00:45:00',
               '2013-01-01 01:00:00', '2013-01-01 01:15:00',
               '2013-01-01 01:30:00', '2013-01-01 01:45:00',
               '2013-01-01 02:00:00', '2013-01-01 02:15:00',
               ...
               '2013-01-31 20:45:00', '2013-01-31 21:00:00',
               '2013-01-31 21:15:00', '2013-01-31 21:30:00',
               '2013-01-31 21:45:00', '2013-01-31 22:00:00',
               '2013-01-31 22:15:00', '2013-01-31 22:30:00',
               '2013-01-31 22:45:00', '2013-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2781, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-14 23:00:00', '2013-01-14 23:15:00',
               '2013-01-14 23:30:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-08 21:00:00', '2013-01-08 21:15:00',
               '2013-01-08 21:30:00', '2013-01-08 21:45:00',
               '2013-01-08 22:00:00', '2013-01-08 22:15:00',
               '2013-01-08 22:30:00', '2013-01-08 22:45:00',
               '2013-01-08 23:00:00', '2013-01-08 23:15:00',
               ...
               '2013-01-10 07:15:00', '2013-01-10 07:30:00',
               '2013-01-10 07:45:00', '2013-01-10 08:00:00',
               '2013-01-10 08:15:00', '2013-01-10 08:30:00',
               '2013-01-10 08:45:00', '2013-01-10 09:00:00',
               '2013-01-10 09:15:00', '2013-01-10 09:30:00'],
              dtype='datetime64[ns]', length=147, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-1-1T00 to 2013-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-01 00:00:00', '2013-01-01 00:15:00',
               '2013-01-01 00:30:00', '2013-01-01 00:45:00',
               '2013-01-01 01:00:00', '2013-01-01 01:15:00',
               '2013-01-01 01:30:00', '2013-01-01 01:45:00',
               '2013-01-01 02:00:00', '2013-01-01 02:15:00',
               ...
               '2013-01-09 06:45:00', '2013-01-09 07:00:00',
               '2013-01-09 07:15:00', '2013-01-09 07:30:00',
               '2013-01-09 07:45:00', '2013-01-09 08:00:00',
               '2013-01-09 08:15:00', '2013-01-09 08:30:00',
               '2013-01-09 08:45:00', '2013-01-09 09:00:00'],
              dtype='datetime64[ns]', length=431, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-01 00:00:00', '2013-01-01 00:15:00',
               '2013-01-01 00:30:00', '2013-01-01 00:45:00',
               '2013-01-01 01:00:00', '2013-01-01 01:15:00',
               '2013-01-01 01:30:00', '2013-01-01 01:45:00',
               '2013-01-01 02:00:00', '2013-01-01 02:15:00',
               '2013-01-01 02:30:00', '2013-01-01 02:45:00',
               '2013-01-01 03:00:00', '2013-01-01 03:15:00',
               '2013-01-01 03:30:00', '2013-01-01 03:45:00',
               '2013-01-01 04:00:00', '2013-01-01 04:15:00',
               '2013-01-01 04:30:00', '2013-01-01 04:45:00',
               '2013-01-01 05:00:00', '2013-01-01 05:15:00',
               '2013-01-01 05:30:00', '2013-01-01 05:45:00',
               '2013-01-01 06:00:00', '2013-01-01 06:15:00',
               '2013-01-01 06:30:00', '2013-01-01 06:45:00',
               '2013-01-01 07:00:00', '2013-01-01 07:15:00',
               '2013-01-01 07:30:00', '2013-01-01 07:45:00',
               '2013-01-01 08:00:00', '2013-01-01 08:15:00',
               '2013-01-01 08:30:00', '2013-01-01 08:45:00',
               '2013-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-01-01 00:00:00', '2013-01-01 00:15:00',
               '2013-01-01 00:30:00', '2013-01-01 00:45:00',
               '2013-01-01 01:00:00', '2013-01-01 01:15:00',
               '2013-01-01 01:30:00', '2013-01-01 01:45:00',
               '2013-01-01 02:00:00', '2013-01-01 02:15:00',
               '2013-01-01 02:30:00', '2013-01-01 02:45:00',
               '2013-01-01 03:00:00', '2013-01-01 03:15:00',
               '2013-01-01 03:30:00', '2013-01-01 03:45:00',
               '2013-01-01 04:00:00', '2013-01-01 04:15:00',
               '2013-01-01 04:30:00', '2013-01-01 04:45:00',
               '2013-01-01 05:00:00', '2013-01-01 05:15:00',
               '2013-01-01 05:30:00', '2013-01-01 05:45:00',
               '2013-01-01 06:00:00', '2013-01-01 06:15:00',
               '2013-01-01 06:30:00', '2013-01-01 06:45:00',
               '2013-01-01 07:00:00', '2013-01-01 07:15:00',
               '2013-01-01 07:30:00', '2013-01-01 07:45:00',
               '2013-01-01 08:00:00', '2013-01-01 08:15:00',
               '2013-01-01 08:30:00', '2013-01-01 08:45:00',
               '2013-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-1-1T00 to 2013-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-18 08:15:00', '2013-02-18 08:30:00',
               '2013-02-18 08:45:00', '2013-02-18 09:00:00',
               '2013-02-18 09:15:00', '2013-02-18 09:30:00',
               '2013-02-18 09:45:00', '2013-02-18 10:00:00',
               '2013-02-18 10:15:00', '2013-02-18 10:30:00',
               ...
               '2013-02-21 09:30:00', '2013-02-21 09:45:00',
               '2013-02-21 10:00:00', '2013-02-21 10:15:00',
               '2013-02-21 10:30:00', '2013-02-21 10:45:00',
               '2013-02-21 11:00:00', '2013-02-21 11:15:00',
               '2013-02-21 11:30:00', '2013-02-21 11:45:00'],
              dtype='datetime64[ns]', length=303, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-01 00:00:00', '2013-02-01 00:15:00',
               '2013-02-01 00:30:00', '2013-02-01 00:45:00',
               '2013-02-01 01:00:00', '2013-02-01 01:15:00',
               '2013-02-01 01:30:00', '2013-02-01 01:45:00',
               '2013-02-01 02:00:00', '2013-02-01 02:15:00',
               ...
               '2013-02-20 01:45:00', '2013-02-20 02:00:00',
               '2013-02-20 02:15:00', '2013-02-20 02:30:00',
               '2013-02-20 02:45:00', '2013-02-20 03:00:00',
               '2013-02-20 03:15:00', '2013-02-20 03:30:00',
               '2013-02-20 03:45:00', '2013-02-20 04:00:00'],
              dtype='datetime64[ns]', length=116, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-01 00:00:00', '2013-02-01 00:15:00',
               '2013-02-01 00:30:00', '2013-02-01 00:45:00',
               '2013-02-01 01:00:00', '2013-02-01 01:15:00',
               '2013-02-01 01:30:00', '2013-02-01 01:45:00',
               '2013-02-01 02:00:00', '2013-02-01 02:15:00',
               ...
               '2013-02-05 06:45:00', '2013-02-05 07:00:00',
               '2013-02-05 07:15:00', '2013-02-05 07:30:00',
               '2013-02-05 07:45:00', '2013-02-05 08:00:00',
               '2013-02-05 08:15:00', '2013-02-05 08:30:00',
               '2013-02-05 08:45:00', '2013-02-05 09:00:00'],
              dtype='datetime64[ns]', length=421, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-01 00:00:00', '2013-02-01 00:15:00',
               '2013-02-01 00:30:00', '2013-02-01 00:45:00',
               '2013-02-01 01:00:00', '2013-02-01 01:15:00',
               '2013-02-01 01:30:00', '2013-02-01 01:45:00',
               '2013-02-01 02:00:00', '2013-02-01 02:15:00',
               '2013-02-01 02:30:00', '2013-02-01 02:45:00',
               '2013-02-01 03:00:00', '2013-02-01 03:15:00',
               '2013-02-01 03:30:00', '2013-02-01 03:45:00',
               '2013-02-01 04:00:00', '2013-02-01 04:15:00',
               '2013-02-01 04:30:00', '2013-02-01 04:45:00',
               '2013-02-01 05:00:00', '2013-02-01 05:15:00',
               '2013-02-01 05:30:00', '2013-02-01 05:45:00',
               '2013-02-01 06:00:00', '2013-02-01 06:15:00',
               '2013-02-01 06:30:00', '2013-02-01 06:45:00',
               '2013-02-01 07:00:00', '2013-02-01 07:15:00',
               '2013-02-01 07:30:00', '2013-02-01 07:45:00',
               '2013-02-01 08:00:00', '2013-02-01 08:15:00',
               '2013-02-01 08:30:00', '2013-02-01 08:45:00',
               '2013-02-01 09:00:00', '2013-02-28 19:00:00',
               '2013-02-28 19:15:00', '2013-02-28 19:30:00',
               '2013-02-28 19:45:00', '2013-02-28 20:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-01 00:00:00', '2013-02-01 00:15:00',
               '2013-02-01 00:30:00', '2013-02-01 00:45:00',
               '2013-02-01 01:00:00', '2013-02-01 01:15:00',
               '2013-02-01 01:30:00', '2013-02-01 01:45:00',
               '2013-02-01 02:00:00', '2013-02-01 02:15:00',
               ...
               '2013-02-28 20:45:00', '2013-02-28 21:00:00',
               '2013-02-28 21:15:00', '2013-02-28 21:30:00',
               '2013-02-28 21:45:00', '2013-02-28 22:00:00',
               '2013-02-28 22:15:00', '2013-02-28 22:30:00',
               '2013-02-28 22:45:00', '2013-02-28 23:00:00'],
              dtype='datetime64[ns]', length=1155, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-2-1T00 to 2013-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-01 00:00:00', '2013-02-01 00:15:00',
               '2013-02-01 00:30:00', '2013-02-01 00:45:00',
               '2013-02-01 01:00:00', '2013-02-01 01:15:00',
               '2013-02-01 01:30:00', '2013-02-01 01:45:00',
               '2013-02-01 02:00:00', '2013-02-01 02:15:00',
               '2013-02-01 02:30:00', '2013-02-01 02:45:00',
               '2013-02-01 03:00:00', '2013-02-01 03:15:00',
               '2013-02-01 03:30:00', '2013-02-01 03:45:00',
               '2013-02-01 04:00:00', '2013-02-01 04:15:00',
               '2013-02-01 04:30:00', '2013-02-01 04:45:00',
               '2013-02-01 05:00:00', '2013-02-01 05:15:00',
               '2013-02-01 05:30:00', '2013-02-01 05:45:00',
               '2013-02-01 06:00:00', '2013-02-01 06:15:00',
               '2013-02-01 06:30:00', '2013-02-01 06:45:00',
               '2013-02-01 07:00:00', '2013-02-01 07:15:00',
               '2013-02-01 07:30:00', '2013-02-01 07:45:00',
               '2013-02-01 08:00:00', '2013-02-01 08:15:00',
               '2013-02-01 08:30:00', '2013-02-01 08:45:00',
               '2013-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-01 00:00:00', '2013-02-01 00:15:00',
               '2013-02-01 00:30:00', '2013-02-01 00:45:00',
               '2013-02-01 01:00:00', '2013-02-01 01:15:00',
               '2013-02-01 01:30:00', '2013-02-01 01:45:00',
               '2013-02-01 02:00:00', '2013-02-01 02:15:00',
               '2013-02-01 02:30:00', '2013-02-01 02:45:00',
               '2013-02-01 03:00:00', '2013-02-01 03:15:00',
               '2013-02-01 03:30:00', '2013-02-01 03:45:00',
               '2013-02-01 04:00:00', '2013-02-01 04:15:00',
               '2013-02-01 04:30:00', '2013-02-01 04:45:00',
               '2013-02-01 05:00:00', '2013-02-01 05:15:00',
               '2013-02-01 05:30:00', '2013-02-01 05:45:00',
               '2013-02-01 06:00:00', '2013-02-01 06:15:00',
               '2013-02-01 06:30:00', '2013-02-01 06:45:00',
               '2013-02-01 07:00:00', '2013-02-01 07:15:00',
               '2013-02-01 07:30:00', '2013-02-01 07:45:00',
               '2013-02-01 08:00:00', '2013-02-01 08:15:00',
               '2013-02-01 08:30:00', '2013-02-01 08:45:00',
               '2013-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-02-01 00:00:00', '2013-02-01 00:15:00',
               '2013-02-01 00:30:00', '2013-02-01 00:45:00',
               '2013-02-01 01:00:00', '2013-02-01 01:15:00',
               '2013-02-01 01:30:00', '2013-02-01 01:45:00',
               '2013-02-01 02:00:00', '2013-02-01 02:15:00',
               '2013-02-01 02:30:00', '2013-02-01 02:45:00',
               '2013-02-01 03:00:00', '2013-02-01 03:15:00',
               '2013-02-01 03:30:00', '2013-02-01 03:45:00',
               '2013-02-01 04:00:00', '2013-02-01 04:15:00',
               '2013-02-01 04:30:00', '2013-02-01 04:45:00',
               '2013-02-01 05:00:00', '2013-02-01 05:15:00',
               '2013-02-01 05:30:00', '2013-02-01 05:45:00',
               '2013-02-01 06:00:00', '2013-02-01 06:15:00',
               '2013-02-01 06:30:00', '2013-02-01 06:45:00',
               '2013-02-01 07:00:00', '2013-02-01 07:15:00',
               '2013-02-01 07:30:00', '2013-02-01 07:45:00',
               '2013-02-01 08:00:00', '2013-02-01 08:15:00',
               '2013-02-01 08:30:00', '2013-02-01 08:45:00',
               '2013-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-2-1T00 to 2013-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-03-01 00:00:00', '2013-03-01 00:15:00',
               '2013-03-01 00:30:00', '2013-03-01 00:45:00',
               '2013-03-01 01:00:00', '2013-03-01 01:15:00',
               '2013-03-01 01:30:00', '2013-03-01 01:45:00',
               '2013-03-01 02:00:00', '2013-03-01 02:15:00',
               ...
               '2013-03-27 12:15:00', '2013-03-27 12:30:00',
               '2013-03-27 12:45:00', '2013-03-27 13:00:00',
               '2013-03-27 13:15:00', '2013-03-27 13:30:00',
               '2013-03-27 13:45:00', '2013-03-27 14:00:00',
               '2013-03-27 14:15:00', '2013-03-27 14:30:00'],
              dtype='datetime64[ns]', length=1355, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-03-01 00:00:00', '2013-03-01 00:15:00',
               '2013-03-01 00:30:00', '2013-03-01 00:45:00',
               '2013-03-01 01:00:00', '2013-03-01 01:15:00',
               '2013-03-01 01:30:00', '2013-03-01 01:45:00',
               '2013-03-01 02:00:00', '2013-03-01 02:15:00',
               '2013-03-01 02:30:00', '2013-03-01 02:45:00',
               '2013-03-01 03:00:00', '2013-03-01 03:15:00',
               '2013-03-01 03:30:00', '2013-03-01 03:45:00',
               '2013-03-01 04:00:00', '2013-03-01 04:15:00',
               '2013-03-01 04:30:00', '2013-03-01 04:45:00',
               '2013-03-01 05:00:00', '2013-03-01 05:15:00',
               '2013-03-01 05:30:00', '2013-03-01 05:45:00',
               '2013-03-01 06:00:00', '2013-03-01 06:15:00',
               '2013-03-01 06:30:00', '2013-03-01 06:45:00',
               '2013-03-01 07:00:00', '2013-03-01 07:15:00',
               '2013-03-01 07:30:00', '2013-03-01 07:45:00',
               '2013-03-01 08:00:00', '2013-03-01 08:15:00',
               '2013-03-01 08:30:00', '2013-03-01 08:45:00',
               '2013-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-03-01 00:00:00', '2013-03-01 00:15:00',
               '2013-03-01 00:30:00', '2013-03-01 00:45:00',
               '2013-03-01 01:00:00', '2013-03-01 01:15:00',
               '2013-03-01 01:30:00', '2013-03-01 01:45:00',
               '2013-03-01 02:00:00', '2013-03-01 02:15:00',
               '2013-03-01 02:30:00', '2013-03-01 02:45:00',
               '2013-03-01 03:00:00', '2013-03-01 03:15:00',
               '2013-03-01 03:30:00', '2013-03-01 03:45:00',
               '2013-03-01 04:00:00', '2013-03-01 04:15:00',
               '2013-03-01 04:30:00', '2013-03-01 04:45:00',
               '2013-03-01 05:00:00', '2013-03-01 05:15:00',
               '2013-03-01 05:30:00', '2013-03-01 05:45:00',
               '2013-03-01 06:00:00', '2013-03-01 06:15:00',
               '2013-03-01 06:30:00', '2013-03-01 06:45:00',
               '2013-03-01 07:00:00', '2013-03-01 07:15:00',
               '2013-03-01 07:30:00', '2013-03-01 07:45:00',
               '2013-03-01 08:00:00', '2013-03-01 08:15:00',
               '2013-03-01 08:30:00', '2013-03-01 08:45:00',
               '2013-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-03-12 08:00:00', '2013-03-12 08:15:00',
               '2013-03-12 08:30:00', '2013-03-12 08:45:00',
               '2013-03-12 09:00:00', '2013-03-12 09:15:00',
               '2013-03-12 09:30:00', '2013-03-12 09:45:00',
               '2013-03-12 10:00:00', '2013-03-12 10:15:00',
               ...
               '2013-03-23 05:30:00', '2013-03-23 05:45:00',
               '2013-03-23 06:00:00', '2013-03-23 06:15:00',
               '2013-03-23 06:30:00', '2013-03-23 06:45:00',
               '2013-03-23 07:00:00', '2013-03-23 07:15:00',
               '2013-03-23 07:30:00', '2013-03-23 07:45:00'],
              dtype='datetime64[ns]', length=1056, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-03-01 00:00:00', '2013-03-01 00:15:00',
               '2013-03-01 00:30:00', '2013-03-01 00:45:00',
               '2013-03-01 01:00:00', '2013-03-01 01:15:00',
               '2013-03-01 01:30:00', '2013-03-01 01:45:00',
               '2013-03-01 02:00:00', '2013-03-01 02:15:00',
               ...
               '2013-03-31 05:45:00', '2013-03-31 06:00:00',
               '2013-03-31 06:15:00', '2013-03-31 06:30:00',
               '2013-03-31 06:45:00', '2013-03-31 07:00:00',
               '2013-03-31 07:15:00', '2013-03-31 07:30:00',
               '2013-03-31 07:45:00', '2013-03-31 08:00:00'],
              dtype='datetime64[ns]', length=711, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-3-1T00 to 2013-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-03-01 00:00:00', '2013-03-01 00:15:00',
               '2013-03-01 00:30:00', '2013-03-01 00:45:00',
               '2013-03-01 01:00:00', '2013-03-01 01:15:00',
               '2013-03-01 01:30:00', '2013-03-01 01:45:00',
               '2013-03-01 02:00:00', '2013-03-01 02:15:00',
               '2013-03-01 02:30:00', '2013-03-01 02:45:00',
               '2013-03-01 03:00:00', '2013-03-01 03:15:00',
               '2013-03-01 03:30:00', '2013-03-01 03:45:00',
               '2013-03-01 04:00:00', '2013-03-01 04:15:00',
               '2013-03-01 04:30:00', '2013-03-01 04:45:00',
               '2013-03-01 05:00:00', '2013-03-01 05:15:00',
               '2013-03-01 05:30:00', '2013-03-01 05:45:00',
               '2013-03-01 06:00:00', '2013-03-01 06:15:00',
               '2013-03-01 06:30:00', '2013-03-01 06:45:00',
               '2013-03-01 07:00:00', '2013-03-01 07:15:00',
               '2013-03-01 07:30:00', '2013-03-01 07:45:00',
               '2013-03-01 08:00:00', '2013-03-01 08:15:00',
               '2013-03-01 08:30:00', '2013-03-01 08:45:00',
               '2013-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-03-01 00:00:00', '2013-03-01 00:15:00',
               '2013-03-01 00:30:00', '2013-03-01 00:45:00',
               '2013-03-01 01:00:00', '2013-03-01 01:15:00',
               '2013-03-01 01:30:00', '2013-03-01 01:45:00',
               '2013-03-01 02:00:00', '2013-03-01 02:15:00',
               '2013-03-01 02:30:00', '2013-03-01 02:45:00',
               '2013-03-01 03:00:00', '2013-03-01 03:15:00',
               '2013-03-01 03:30:00', '2013-03-01 03:45:00',
               '2013-03-01 04:00:00', '2013-03-01 04:15:00',
               '2013-03-01 04:30:00', '2013-03-01 04:45:00',
               '2013-03-01 05:00:00', '2013-03-01 05:15:00',
               '2013-03-01 05:30:00', '2013-03-01 05:45:00',
               '2013-03-01 06:00:00', '2013-03-01 06:15:00',
               '2013-03-01 06:30:00', '2013-03-01 06:45:00',
               '2013-03-01 07:00:00', '2013-03-01 07:15:00',
               '2013-03-01 07:30:00', '2013-03-01 07:45:00',
               '2013-03-01 08:00:00', '2013-03-01 08:15:00',
               '2013-03-01 08:30:00', '2013-03-01 08:45:00',
               '2013-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-03-01 00:00:00', '2013-03-01 00:15:00',
               '2013-03-01 00:30:00', '2013-03-01 00:45:00',
               '2013-03-01 01:00:00', '2013-03-01 01:15:00',
               '2013-03-01 01:30:00', '2013-03-01 01:45:00',
               '2013-03-01 02:00:00', '2013-03-01 02:15:00',
               '2013-03-01 02:30:00', '2013-03-01 02:45:00',
               '2013-03-01 03:00:00', '2013-03-01 03:15:00',
               '2013-03-01 03:30:00', '2013-03-01 03:45:00',
               '2013-03-01 04:00:00', '2013-03-01 04:15:00',
               '2013-03-01 04:30:00', '2013-03-01 04:45:00',
               '2013-03-01 05:00:00', '2013-03-01 05:15:00',
               '2013-03-01 05:30:00', '2013-03-01 05:45:00',
               '2013-03-01 06:00:00', '2013-03-01 06:15:00',
               '2013-03-01 06:30:00', '2013-03-01 06:45:00',
               '2013-03-01 07:00:00', '2013-03-01 07:15:00',
               '2013-03-01 07:30:00', '2013-03-01 07:45:00',
               '2013-03-01 08:00:00', '2013-03-01 08:15:00',
               '2013-03-01 08:30:00', '2013-03-01 08:45:00',
               '2013-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-3-1T00 to 2013-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               ...
               '2013-04-12 18:30:00', '2013-04-12 18:45:00',
               '2013-04-12 19:00:00', '2013-04-12 19:15:00',
               '2013-04-12 19:30:00', '2013-04-12 19:45:00',
               '2013-04-12 20:00:00', '2013-04-12 20:15:00',
               '2013-04-12 20:30:00', '2013-04-12 20:45:00'],
              dtype='datetime64[ns]', length=101, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               '2013-04-01 02:30:00', '2013-04-01 02:45:00',
               '2013-04-01 03:00:00', '2013-04-01 03:15:00',
               '2013-04-01 03:30:00', '2013-04-01 03:45:00',
               '2013-04-01 04:00:00', '2013-04-01 04:15:00',
               '2013-04-01 04:30:00', '2013-04-01 04:45:00',
               '2013-04-01 05:00:00', '2013-04-01 05:15:00',
               '2013-04-01 05:30:00', '2013-04-01 05:45:00',
               '2013-04-01 06:00:00', '2013-04-01 06:15:00',
               '2013-04-01 06:30:00', '2013-04-01 06:45:00',
               '2013-04-01 07:00:00', '2013-04-01 07:15:00',
               '2013-04-01 07:30:00', '2013-04-01 07:45:00',
               '2013-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               '2013-04-01 02:30:00', '2013-04-01 02:45:00',
               '2013-04-01 03:00:00', '2013-04-01 03:15:00',
               '2013-04-01 03:30:00', '2013-04-01 03:45:00',
               '2013-04-01 04:00:00', '2013-04-01 04:15:00',
               '2013-04-01 04:30:00', '2013-04-01 04:45:00',
               '2013-04-01 05:00:00', '2013-04-01 05:15:00',
               '2013-04-01 05:30:00', '2013-04-01 05:45:00',
               '2013-04-01 06:00:00', '2013-04-01 06:15:00',
               '2013-04-01 06:30:00', '2013-04-01 06:45:00',
               '2013-04-01 07:00:00', '2013-04-01 07:15:00',
               '2013-04-01 07:30:00', '2013-04-01 07:45:00',
               '2013-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               ...
               '2013-04-29 05:45:00', '2013-04-29 06:00:00',
               '2013-04-29 06:15:00', '2013-04-29 06:30:00',
               '2013-04-29 06:45:00', '2013-04-29 07:00:00',
               '2013-04-29 07:15:00', '2013-04-29 07:30:00',
               '2013-04-29 07:45:00', '2013-04-29 08:00:00'],
              dtype='datetime64[ns]', length=1383, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               ...
               '2013-04-22 05:30:00', '2013-04-22 05:45:00',
               '2013-04-22 06:00:00', '2013-04-22 06:15:00',
               '2013-04-22 06:30:00', '2013-04-22 06:45:00',
               '2013-04-22 07:00:00', '2013-04-22 07:15:00',
               '2013-04-22 07:30:00', '2013-04-22 07:45:00'],
              dtype='datetime64[ns]', length=2048, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               ...
               '2013-04-21 05:30:00', '2013-04-21 05:45:00',
               '2013-04-21 06:00:00', '2013-04-21 06:15:00',
               '2013-04-21 06:30:00', '2013-04-21 06:45:00',
               '2013-04-21 07:00:00', '2013-04-21 07:15:00',
               '2013-04-21 07:30:00', '2013-04-21 07:45:00'],
              dtype='datetime64[ns]', length=1952, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-4-1T00 to 2013-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               '2013-04-01 02:30:00', '2013-04-01 02:45:00',
               '2013-04-01 03:00:00', '2013-04-01 03:15:00',
               '2013-04-01 03:30:00', '2013-04-01 03:45:00',
               '2013-04-01 04:00:00', '2013-04-01 04:15:00',
               '2013-04-01 04:30:00', '2013-04-01 04:45:00',
               '2013-04-01 05:00:00', '2013-04-01 05:15:00',
               '2013-04-01 05:30:00', '2013-04-01 05:45:00',
               '2013-04-01 06:00:00', '2013-04-01 06:15:00',
               '2013-04-01 06:30:00', '2013-04-01 06:45:00',
               '2013-04-01 07:00:00', '2013-04-01 07:15:00',
               '2013-04-01 07:30:00', '2013-04-01 07:45:00',
               '2013-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               '2013-04-01 02:30:00', '2013-04-01 02:45:00',
               '2013-04-01 03:00:00', '2013-04-01 03:15:00',
               '2013-04-01 03:30:00', '2013-04-01 03:45:00',
               '2013-04-01 04:00:00', '2013-04-01 04:15:00',
               '2013-04-01 04:30:00', '2013-04-01 04:45:00',
               '2013-04-01 05:00:00', '2013-04-01 05:15:00',
               '2013-04-01 05:30:00', '2013-04-01 05:45:00',
               '2013-04-01 06:00:00', '2013-04-01 06:15:00',
               '2013-04-01 06:30:00', '2013-04-01 06:45:00',
               '2013-04-01 07:00:00', '2013-04-01 07:15:00',
               '2013-04-01 07:30:00', '2013-04-01 07:45:00',
               '2013-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-04-01 00:00:00', '2013-04-01 00:15:00',
               '2013-04-01 00:30:00', '2013-04-01 00:45:00',
               '2013-04-01 01:00:00', '2013-04-01 01:15:00',
               '2013-04-01 01:30:00', '2013-04-01 01:45:00',
               '2013-04-01 02:00:00', '2013-04-01 02:15:00',
               '2013-04-01 02:30:00', '2013-04-01 02:45:00',
               '2013-04-01 03:00:00', '2013-04-01 03:15:00',
               '2013-04-01 03:30:00', '2013-04-01 03:45:00',
               '2013-04-01 04:00:00', '2013-04-01 04:15:00',
               '2013-04-01 04:30:00', '2013-04-01 04:45:00',
               '2013-04-01 05:00:00', '2013-04-01 05:15:00',
               '2013-04-01 05:30:00', '2013-04-01 05:45:00',
               '2013-04-01 06:00:00', '2013-04-01 06:15:00',
               '2013-04-01 06:30:00', '2013-04-01 06:45:00',
               '2013-04-01 07:00:00', '2013-04-01 07:15:00',
               '2013-04-01 07:30:00', '2013-04-01 07:45:00',
               '2013-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-4-1T00 to 2013-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00', '2013-05-04 05:45:00',
               '2013-05-04 06:00:00', '2013-05-04 06:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               ...
               '2013-05-31 19:30:00', '2013-05-31 19:45:00',
               '2013-05-31 20:00:00', '2013-05-31 20:15:00',
               '2013-05-31 20:45:00', '2013-05-31 21:00:00',
               '2013-05-31 21:15:00', '2013-05-31 22:30:00',
               '2013-05-31 22:45:00', '2013-05-31 23:00:00'],
              dtype='datetime64[ns]', length=1895, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               ...
               '2013-05-28 05:45:00', '2013-05-28 06:00:00',
               '2013-05-28 06:15:00', '2013-05-28 06:30:00',
               '2013-05-28 06:45:00', '2013-05-28 07:00:00',
               '2013-05-28 07:15:00', '2013-05-28 07:30:00',
               '2013-05-28 07:45:00', '2013-05-28 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               ...
               '2013-05-04 05:45:00', '2013-05-04 06:00:00',
               '2013-05-04 06:15:00', '2013-05-04 06:30:00',
               '2013-05-04 06:45:00', '2013-05-04 07:00:00',
               '2013-05-04 07:15:00', '2013-05-04 07:30:00',
               '2013-05-04 07:45:00', '2013-05-04 08:00:00'],
              dtype='datetime64[ns]', length=321, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-05-02 08:15:00', '2013-05-02 08:30:00',
               '2013-05-02 08:45:00', '2013-05-02 09:00:00',
               '2013-05-02 09:15:00', '2013-05-02 09:30:00',
               '2013-05-02 09:45:00', '2013-05-02 10:00:00',
               '2013-05-02 10:15:00', '2013-05-02 10:30:00',
               ...
               '2013-05-29 05:30:00', '2013-05-29 05:45:00',
               '2013-05-29 06:00:00', '2013-05-29 06:15:00',
               '2013-05-29 06:30:00', '2013-05-29 06:45:00',
               '2013-05-29 07:00:00', '2013-05-29 07:15:00',
               '2013-05-29 07:30:00', '2013-05-29 07:45:00'],
              dtype='datetime64[ns]', length=2591, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               ...
               '2013-05-02 05:45:00', '2013-05-02 06:00:00',
               '2013-05-02 06:15:00', '2013-05-02 06:30:00',
               '2013-05-02 06:45:00', '2013-05-02 07:00:00',
               '2013-05-02 07:15:00', '2013-05-02 07:30:00',
               '2013-05-02 07:45:00', '2013-05-02 08:00:00'],
              dtype='datetime64[ns]', length=129, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-5-1T00 to 2013-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               ...
               '2013-05-08 05:45:00', '2013-05-08 06:00:00',
               '2013-05-08 06:15:00', '2013-05-08 06:30:00',
               '2013-05-08 06:45:00', '2013-05-08 07:00:00',
               '2013-05-08 07:15:00', '2013-05-08 07:30:00',
               '2013-05-08 07:45:00', '2013-05-08 08:00:00'],
              dtype='datetime64[ns]', length=705, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               '2013-05-01 02:30:00', '2013-05-01 02:45:00',
               '2013-05-01 03:00:00', '2013-05-01 03:15:00',
               '2013-05-01 03:30:00', '2013-05-01 03:45:00',
               '2013-05-01 04:00:00', '2013-05-01 04:15:00',
               '2013-05-01 04:30:00', '2013-05-01 04:45:00',
               '2013-05-01 05:00:00', '2013-05-01 05:15:00',
               '2013-05-01 05:30:00', '2013-05-01 05:45:00',
               '2013-05-01 06:00:00', '2013-05-01 06:15:00',
               '2013-05-01 06:30:00', '2013-05-01 06:45:00',
               '2013-05-01 07:00:00', '2013-05-01 07:15:00',
               '2013-05-01 07:30:00', '2013-05-01 07:45:00',
               '2013-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-05-01 00:00:00', '2013-05-01 00:15:00',
               '2013-05-01 00:30:00', '2013-05-01 00:45:00',
               '2013-05-01 01:00:00', '2013-05-01 01:15:00',
               '2013-05-01 01:30:00', '2013-05-01 01:45:00',
               '2013-05-01 02:00:00', '2013-05-01 02:15:00',
               ...
               '2013-05-24 05:45:00', '2013-05-24 06:00:00',
               '2013-05-24 06:15:00', '2013-05-24 06:30:00',
               '2013-05-24 06:45:00', '2013-05-24 07:00:00',
               '2013-05-24 07:15:00', '2013-05-24 07:30:00',
               '2013-05-24 07:45:00', '2013-05-24 08:00:00'],
              dtype='datetime64[ns]', length=227, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-5-1T00 to 2013-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               ...
               '2013-06-29 11:15:00', '2013-06-29 19:00:00',
               '2013-06-29 19:15:00', '2013-06-29 19:30:00',
               '2013-06-29 21:30:00', '2013-06-29 21:45:00',
               '2013-06-29 22:00:00', '2013-06-30 22:30:00',
               '2013-06-30 22:45:00', '2013-06-30 23:00:00'],
              dtype='datetime64[ns]', length=1793, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               ...
               '2013-06-27 05:45:00', '2013-06-27 06:00:00',
               '2013-06-27 06:15:00', '2013-06-27 06:30:00',
               '2013-06-27 06:45:00', '2013-06-27 07:00:00',
               '2013-06-27 07:15:00', '2013-06-27 07:30:00',
               '2013-06-27 07:45:00', '2013-06-27 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               ...
               '2013-06-19 05:45:00', '2013-06-19 06:00:00',
               '2013-06-19 06:15:00', '2013-06-19 06:30:00',
               '2013-06-19 06:45:00', '2013-06-19 07:00:00',
               '2013-06-19 07:15:00', '2013-06-19 07:30:00',
               '2013-06-19 07:45:00', '2013-06-19 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-6-1T00 to 2013-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-06-01 00:00:00', '2013-06-01 00:15:00',
               '2013-06-01 00:30:00', '2013-06-01 00:45:00',
               '2013-06-01 01:00:00', '2013-06-01 01:15:00',
               '2013-06-01 01:30:00', '2013-06-01 01:45:00',
               '2013-06-01 02:00:00', '2013-06-01 02:15:00',
               '2013-06-01 02:30:00', '2013-06-01 02:45:00',
               '2013-06-01 03:00:00', '2013-06-01 03:15:00',
               '2013-06-01 03:30:00', '2013-06-01 03:45:00',
               '2013-06-01 04:00:00', '2013-06-01 04:15:00',
               '2013-06-01 04:30:00', '2013-06-01 04:45:00',
               '2013-06-01 05:00:00', '2013-06-01 05:15:00',
               '2013-06-01 05:30:00', '2013-06-01 05:45:00',
               '2013-06-01 06:00:00', '2013-06-01 06:15:00',
               '2013-06-01 06:30:00', '2013-06-01 06:45:00',
               '2013-06-01 07:00:00', '2013-06-01 07:15:00',
               '2013-06-01 07:30:00', '2013-06-01 07:45:00',
               '2013-06-01 08:00:00', '2013-06-03 20:45:00',
               '2013-06-03 21:00:00', '2013-06-03 21:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-6-1T00 to 2013-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               ...
               '2013-07-29 02:45:00', '2013-07-29 06:45:00',
               '2013-07-29 07:00:00', '2013-07-29 07:15:00',
               '2013-07-30 03:00:00', '2013-07-30 03:15:00',
               '2013-07-30 03:30:00', '2013-07-31 21:00:00',
               '2013-07-31 21:15:00', '2013-07-31 21:30:00'],
              dtype='datetime64[ns]', length=739, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               ...
               '2013-07-26 05:45:00', '2013-07-26 06:00:00',
               '2013-07-26 06:15:00', '2013-07-26 06:30:00',
               '2013-07-26 06:45:00', '2013-07-26 07:00:00',
               '2013-07-26 07:15:00', '2013-07-26 07:30:00',
               '2013-07-26 07:45:00', '2013-07-26 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-7-1T00 to 2013-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               '2013-07-01 02:30:00', '2013-07-01 02:45:00',
               '2013-07-01 03:00:00', '2013-07-01 03:15:00',
               '2013-07-01 03:30:00', '2013-07-01 03:45:00',
               '2013-07-01 04:00:00', '2013-07-01 04:15:00',
               '2013-07-01 04:30:00', '2013-07-01 04:45:00',
               '2013-07-01 05:00:00', '2013-07-01 05:15:00',
               '2013-07-01 05:30:00', '2013-07-01 05:45:00',
               '2013-07-01 06:00:00', '2013-07-01 06:15:00',
               '2013-07-01 06:30:00', '2013-07-01 06:45:00',
               '2013-07-01 07:00:00', '2013-07-01 07:15:00',
               '2013-07-01 07:30:00', '2013-07-01 07:45:00',
               '2013-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-07-01 00:00:00', '2013-07-01 00:15:00',
               '2013-07-01 00:30:00', '2013-07-01 00:45:00',
               '2013-07-01 01:00:00', '2013-07-01 01:15:00',
               '2013-07-01 01:30:00', '2013-07-01 01:45:00',
               '2013-07-01 02:00:00', '2013-07-01 02:15:00',
               ...
               '2013-07-12 05:45:00', '2013-07-12 06:00:00',
               '2013-07-12 06:15:00', '2013-07-12 06:30:00',
               '2013-07-12 06:45:00', '2013-07-12 07:00:00',
               '2013-07-12 07:15:00', '2013-07-12 07:30:00',
               '2013-07-12 07:45:00', '2013-07-12 08:00:00'],
              dtype='datetime64[ns]', length=147, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-7-1T00 to 2013-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               ...
               '2013-08-29 12:30:00', '2013-08-29 17:15:00',
               '2013-08-29 17:30:00', '2013-08-29 17:45:00',
               '2013-08-29 18:30:00', '2013-08-29 18:45:00',
               '2013-08-29 19:00:00', '2013-08-29 19:30:00',
               '2013-08-29 19:45:00', '2013-08-29 20:00:00'],
              dtype='datetime64[ns]', length=194, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               ...
               '2013-08-31 20:45:00', '2013-08-31 21:00:00',
               '2013-08-31 21:15:00', '2013-08-31 21:30:00',
               '2013-08-31 21:45:00', '2013-08-31 22:00:00',
               '2013-08-31 22:15:00', '2013-08-31 22:30:00',
               '2013-08-31 22:45:00', '2013-08-31 23:00:00'],
              dtype='datetime64[ns]', length=481, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               ...
               '2013-08-15 05:45:00', '2013-08-15 06:00:00',
               '2013-08-15 06:15:00', '2013-08-15 06:30:00',
               '2013-08-15 06:45:00', '2013-08-15 07:00:00',
               '2013-08-15 07:15:00', '2013-08-15 07:30:00',
               '2013-08-15 07:45:00', '2013-08-15 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-8-1T00 to 2013-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-08-01 00:00:00', '2013-08-01 00:15:00',
               '2013-08-01 00:30:00', '2013-08-01 00:45:00',
               '2013-08-01 01:00:00', '2013-08-01 01:15:00',
               '2013-08-01 01:30:00', '2013-08-01 01:45:00',
               '2013-08-01 02:00:00', '2013-08-01 02:15:00',
               '2013-08-01 02:30:00', '2013-08-01 02:45:00',
               '2013-08-01 03:00:00', '2013-08-01 03:15:00',
               '2013-08-01 03:30:00', '2013-08-01 03:45:00',
               '2013-08-01 04:00:00', '2013-08-01 04:15:00',
               '2013-08-01 04:30:00', '2013-08-01 04:45:00',
               '2013-08-01 05:00:00', '2013-08-01 05:15:00',
               '2013-08-01 05:30:00', '2013-08-01 05:45:00',
               '2013-08-01 06:00:00', '2013-08-01 06:15:00',
               '2013-08-01 06:30:00', '2013-08-01 06:45:00',
               '2013-08-01 07:00:00', '2013-08-01 07:15:00',
               '2013-08-01 07:30:00', '2013-08-01 07:45:00',
               '2013-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-8-1T00 to 2013-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               ...
               '2013-09-28 23:45:00', '2013-09-29 11:45:00',
               '2013-09-29 12:00:00', '2013-09-29 12:15:00',
               '2013-09-30 05:00:00', '2013-09-30 05:15:00',
               '2013-09-30 05:30:00', '2013-09-30 15:45:00',
               '2013-09-30 16:00:00', '2013-09-30 16:15:00'],
              dtype='datetime64[ns]', length=184, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               ...
               '2013-09-22 05:45:00', '2013-09-22 06:00:00',
               '2013-09-22 06:15:00', '2013-09-22 06:30:00',
               '2013-09-22 06:45:00', '2013-09-22 07:00:00',
               '2013-09-22 07:15:00', '2013-09-22 07:30:00',
               '2013-09-22 07:45:00', '2013-09-22 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-9-1T00 to 2013-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-09-01 00:00:00', '2013-09-01 00:15:00',
               '2013-09-01 00:30:00', '2013-09-01 00:45:00',
               '2013-09-01 01:00:00', '2013-09-01 01:15:00',
               '2013-09-01 01:30:00', '2013-09-01 01:45:00',
               '2013-09-01 02:00:00', '2013-09-01 02:15:00',
               '2013-09-01 02:30:00', '2013-09-01 02:45:00',
               '2013-09-01 03:00:00', '2013-09-01 03:15:00',
               '2013-09-01 03:30:00', '2013-09-01 03:45:00',
               '2013-09-01 04:00:00', '2013-09-01 04:15:00',
               '2013-09-01 04:30:00', '2013-09-01 04:45:00',
               '2013-09-01 05:00:00', '2013-09-01 05:15:00',
               '2013-09-01 05:30:00', '2013-09-01 05:45:00',
               '2013-09-01 06:00:00', '2013-09-01 06:15:00',
               '2013-09-01 06:30:00', '2013-09-01 06:45:00',
               '2013-09-01 07:00:00', '2013-09-01 07:15:00',
               '2013-09-01 07:30:00', '2013-09-01 07:45:00',
               '2013-09-01 08:00:00', '2013-09-14 21:45:00',
               '2013-09-14 22:00:00', '2013-09-14 22:15:00',
               '2013-09-14 22:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-9-1T00 to 2013-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00', '2013-10-17 19:30:00',
               '2013-10-17 19:45:00', '2013-10-17 20:00:00',
               '2013-10-24 20:00:00', '2013-10-24 20:15:00',
               '2013-10-24 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               ...
               '2013-10-29 01:15:00', '2013-10-30 01:15:00',
               '2013-10-30 01:30:00', '2013-10-30 01:45:00',
               '2013-10-30 09:15:00', '2013-10-30 09:30:00',
               '2013-10-30 09:45:00', '2013-10-30 16:00:00',
               '2013-10-30 16:15:00', '2013-10-30 16:30:00'],
              dtype='datetime64[ns]', length=186, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00', '2013-10-22 10:30:00',
               '2013-10-22 10:45:00', '2013-10-22 11:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               ...
               '2013-10-20 07:45:00', '2013-10-20 08:00:00',
               '2013-10-22 02:15:00', '2013-10-22 02:30:00',
               '2013-10-22 02:45:00', '2013-10-22 16:30:00',
               '2013-10-22 16:45:00', '2013-10-22 17:00:00',
               '2013-10-22 17:15:00', '2013-10-22 17:30:00'],
              dtype='datetime64[ns]', length=621, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-10-1T00 to 2013-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               ...
               '2013-10-18 05:30:00', '2013-10-18 05:45:00',
               '2013-10-18 06:00:00', '2013-10-18 06:15:00',
               '2013-10-18 06:30:00', '2013-10-18 06:45:00',
               '2013-10-18 07:00:00', '2013-10-18 07:15:00',
               '2013-10-18 07:30:00', '2013-10-18 07:45:00'],
              dtype='datetime64[ns]', length=1664, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00', '2013-10-22 02:15:00',
               '2013-10-22 02:30:00', '2013-10-22 02:45:00',
               '2013-10-22 17:00:00', '2013-10-22 17:15:00',
               '2013-10-22 17:30:00', '2013-10-22 17:45:00',
               '2013-10-22 18:00:00', '2013-10-22 18:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-10-01 00:00:00', '2013-10-01 00:15:00',
               '2013-10-01 00:30:00', '2013-10-01 00:45:00',
               '2013-10-01 01:00:00', '2013-10-01 01:15:00',
               '2013-10-01 01:30:00', '2013-10-01 01:45:00',
               '2013-10-01 02:00:00', '2013-10-01 02:15:00',
               '2013-10-01 02:30:00', '2013-10-01 02:45:00',
               '2013-10-01 03:00:00', '2013-10-01 03:15:00',
               '2013-10-01 03:30:00', '2013-10-01 03:45:00',
               '2013-10-01 04:00:00', '2013-10-01 04:15:00',
               '2013-10-01 04:30:00', '2013-10-01 04:45:00',
               '2013-10-01 05:00:00', '2013-10-01 05:15:00',
               '2013-10-01 05:30:00', '2013-10-01 05:45:00',
               '2013-10-01 06:00:00', '2013-10-01 06:15:00',
               '2013-10-01 06:30:00', '2013-10-01 06:45:00',
               '2013-10-01 07:00:00', '2013-10-01 07:15:00',
               '2013-10-01 07:30:00', '2013-10-01 07:45:00',
               '2013-10-01 08:00:00', '2013-10-22 20:45:00',
               '2013-10-22 21:00:00', '2013-10-22 21:15:00',
               '2013-10-22 21:30:00', '2013-10-22 21:45:00',
               '2013-10-22 22:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-10-1T00 to 2013-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 8.04, max INDEP value is 7.15
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-11-19 09:00:00', '2013-11-19 09:15:00',
               '2013-11-19 09:30:00', '2013-11-19 09:45:00',
               '2013-11-19 10:00:00', '2013-11-19 10:15:00',
               '2013-11-19 10:30:00', '2013-11-19 10:45:00',
               '2013-11-19 11:00:00', '2013-11-19 11:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1113, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00', '2013-11-05 20:45:00',
               '2013-11-05 21:00:00', '2013-11-05 21:15:00',
               '2013-11-12 22:30:00', '2013-11-12 22:45:00',
               '2013-11-12 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1340, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-11-13 09:00:00', '2013-11-13 09:15:00',
               '2013-11-13 09:30:00', '2013-11-13 09:45:00',
               '2013-11-13 10:00:00', '2013-11-13 10:15:00',
               '2013-11-13 10:30:00', '2013-11-13 10:45:00',
               '2013-11-13 11:00:00', '2013-11-13 11:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1689, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2013-11-13 20:45:00', '2013-11-13 21:00:00',
               '2013-11-13 21:15:00', '2013-11-13 21:30:00',
               '2013-11-13 21:45:00', '2013-11-13 22:00:00',
               '2013-11-13 22:15:00', '2013-11-13 22:30:00',
               '2013-11-13 22:45:00', '2013-11-13 23:00:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1642, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-11-13 09:00:00', '2013-11-13 09:15:00',
               '2013-11-13 09:30:00', '2013-11-13 09:45:00',
               '2013-11-13 10:00:00', '2013-11-13 10:15:00',
               '2013-11-13 10:30:00', '2013-11-13 10:45:00',
               '2013-11-13 11:00:00', '2013-11-13 11:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1689, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00', '2013-11-10 10:45:00',
               '2013-11-10 11:00:00', '2013-11-10 11:15:00',
               '2013-11-10 23:00:00', '2013-11-10 23:15:00',
               '2013-11-10 23:30:00', '2013-11-11 05:45:00',
               '2013-11-11 06:00:00', '2013-11-11 06:15:00',
               '2013-11-11 09:15:00', '2013-11-11 09:30:00',
               '2013-11-11 09:45:00', '2013-11-12 11:00:00',
               '2013-11-12 11:15:00', '2013-11-12 11:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1347, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=765, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=477, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-11-06 09:00:00', '2013-11-06 09:15:00',
               '2013-11-06 09:30:00', '2013-11-06 09:45:00',
               '2013-11-06 10:00:00', '2013-11-06 10:15:00',
               '2013-11-06 10:30:00', '2013-11-06 10:45:00',
               '2013-11-06 11:00:00', '2013-11-06 11:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2361, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-11-06 09:00:00', '2013-11-06 09:15:00',
               '2013-11-06 09:30:00', '2013-11-06 09:45:00',
               '2013-11-06 10:00:00', '2013-11-06 10:15:00',
               '2013-11-06 10:30:00', '2013-11-06 10:45:00',
               '2013-11-06 11:00:00', '2013-11-06 11:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2361, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-11-1T00 to 2013-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-11-06 09:00:00', '2013-11-06 09:15:00',
               '2013-11-06 09:30:00', '2013-11-06 09:45:00',
               '2013-11-06 10:00:00', '2013-11-06 10:15:00',
               '2013-11-06 10:30:00', '2013-11-06 10:45:00',
               '2013-11-06 11:00:00', '2013-11-06 11:15:00',
               ...
               '2013-11-30 20:45:00', '2013-11-30 21:00:00',
               '2013-11-30 21:15:00', '2013-11-30 21:30:00',
               '2013-11-30 21:45:00', '2013-11-30 22:00:00',
               '2013-11-30 22:15:00', '2013-11-30 22:30:00',
               '2013-11-30 22:45:00', '2013-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2361, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               '2013-11-01 02:30:00', '2013-11-01 02:45:00',
               '2013-11-01 03:00:00', '2013-11-01 03:15:00',
               '2013-11-01 03:30:00', '2013-11-01 03:45:00',
               '2013-11-01 04:00:00', '2013-11-01 04:15:00',
               '2013-11-01 04:30:00', '2013-11-01 04:45:00',
               '2013-11-01 05:00:00', '2013-11-01 05:15:00',
               '2013-11-01 05:30:00', '2013-11-01 05:45:00',
               '2013-11-01 06:00:00', '2013-11-01 06:15:00',
               '2013-11-01 06:30:00', '2013-11-01 06:45:00',
               '2013-11-01 07:00:00', '2013-11-01 07:15:00',
               '2013-11-01 07:30:00', '2013-11-01 07:45:00',
               '2013-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-11-01 00:00:00', '2013-11-01 00:15:00',
               '2013-11-01 00:30:00', '2013-11-01 00:45:00',
               '2013-11-01 01:00:00', '2013-11-01 01:15:00',
               '2013-11-01 01:30:00', '2013-11-01 01:45:00',
               '2013-11-01 02:00:00', '2013-11-01 02:15:00',
               ...
               '2013-11-15 06:45:00', '2013-11-15 07:00:00',
               '2013-11-15 07:15:00', '2013-11-15 07:30:00',
               '2013-11-15 07:45:00', '2013-11-15 08:00:00',
               '2013-11-15 08:15:00', '2013-11-15 08:30:00',
               '2013-11-15 08:45:00', '2013-11-15 09:00:00'],
              dtype='datetime64[ns]', length=707, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-11-1T00 to 2013-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.54, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               ...
               '2013-12-27 03:15:00', '2013-12-27 03:30:00',
               '2013-12-27 03:45:00', '2013-12-27 04:00:00',
               '2013-12-27 04:15:00', '2013-12-27 04:30:00',
               '2013-12-27 04:45:00', '2013-12-27 05:00:00',
               '2013-12-27 05:15:00', '2013-12-27 05:30:00'],
              dtype='datetime64[ns]', length=1968, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               '2013-12-01 02:30:00', '2013-12-01 02:45:00',
               '2013-12-01 03:00:00', '2013-12-01 03:15:00',
               '2013-12-01 03:30:00', '2013-12-01 03:45:00',
               '2013-12-01 04:00:00', '2013-12-01 04:15:00',
               '2013-12-01 04:30:00', '2013-12-01 04:45:00',
               '2013-12-01 05:00:00', '2013-12-01 05:15:00',
               '2013-12-01 05:30:00', '2013-12-01 05:45:00',
               '2013-12-01 06:00:00', '2013-12-01 06:15:00',
               '2013-12-01 06:30:00', '2013-12-01 06:45:00',
               '2013-12-01 07:00:00', '2013-12-01 07:15:00',
               '2013-12-01 07:30:00', '2013-12-01 07:45:00',
               '2013-12-01 08:00:00', '2013-12-01 08:15:00',
               '2013-12-01 08:30:00', '2013-12-01 08:45:00',
               '2013-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-12-10 09:00:00', '2013-12-10 09:15:00',
               '2013-12-10 09:30:00', '2013-12-10 09:45:00',
               '2013-12-10 10:00:00', '2013-12-10 10:15:00',
               '2013-12-10 10:30:00', '2013-12-10 10:45:00',
               '2013-12-10 11:00:00', '2013-12-10 11:15:00',
               ...
               '2013-12-31 20:45:00', '2013-12-31 21:00:00',
               '2013-12-31 21:15:00', '2013-12-31 21:30:00',
               '2013-12-31 21:45:00', '2013-12-31 22:00:00',
               '2013-12-31 22:15:00', '2013-12-31 22:30:00',
               '2013-12-31 22:45:00', '2013-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2073, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               ...
               '2013-12-06 06:45:00', '2013-12-06 07:00:00',
               '2013-12-06 07:15:00', '2013-12-06 07:30:00',
               '2013-12-06 07:45:00', '2013-12-06 08:00:00',
               '2013-12-06 08:15:00', '2013-12-06 08:30:00',
               '2013-12-06 08:45:00', '2013-12-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-12-15 09:00:00', '2013-12-15 09:15:00',
               '2013-12-15 09:30:00', '2013-12-15 09:45:00',
               '2013-12-15 10:00:00', '2013-12-15 10:15:00',
               '2013-12-15 10:30:00', '2013-12-15 10:45:00',
               '2013-12-15 11:00:00', '2013-12-15 11:15:00',
               ...
               '2013-12-31 20:45:00', '2013-12-31 21:00:00',
               '2013-12-31 21:15:00', '2013-12-31 21:30:00',
               '2013-12-31 21:45:00', '2013-12-31 22:00:00',
               '2013-12-31 22:15:00', '2013-12-31 22:30:00',
               '2013-12-31 22:45:00', '2013-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               ...
               '2013-12-06 06:45:00', '2013-12-06 07:00:00',
               '2013-12-06 07:15:00', '2013-12-06 07:30:00',
               '2013-12-06 07:45:00', '2013-12-06 08:00:00',
               '2013-12-06 08:15:00', '2013-12-06 08:30:00',
               '2013-12-06 08:45:00', '2013-12-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2013-12-11 09:00:00', '2013-12-11 09:15:00',
               '2013-12-11 09:30:00', '2013-12-11 09:45:00',
               '2013-12-11 10:00:00', '2013-12-11 10:15:00',
               '2013-12-11 10:30:00', '2013-12-11 10:45:00',
               '2013-12-11 11:00:00', '2013-12-11 11:15:00',
               ...
               '2013-12-31 20:45:00', '2013-12-31 21:00:00',
               '2013-12-31 21:15:00', '2013-12-31 21:30:00',
               '2013-12-31 21:45:00', '2013-12-31 22:00:00',
               '2013-12-31 22:15:00', '2013-12-31 22:30:00',
               '2013-12-31 22:45:00', '2013-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               ...
               '2013-12-06 06:45:00', '2013-12-06 07:00:00',
               '2013-12-06 07:15:00', '2013-12-06 07:30:00',
               '2013-12-06 07:45:00', '2013-12-06 08:00:00',
               '2013-12-06 08:15:00', '2013-12-06 08:30:00',
               '2013-12-06 08:45:00', '2013-12-06 09:00:00'],
              dtype='datetime64[ns]', length=517, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2013-12-13 05:15:00', '2013-12-13 05:30:00',
               '2013-12-13 05:45:00', '2013-12-13 06:00:00',
               '2013-12-13 06:15:00', '2013-12-13 06:30:00',
               '2013-12-13 06:45:00', '2013-12-13 07:00:00',
               '2013-12-13 07:15:00', '2013-12-13 07:30:00',
               ...
               '2013-12-31 20:45:00', '2013-12-31 21:00:00',
               '2013-12-31 21:15:00', '2013-12-31 21:30:00',
               '2013-12-31 21:45:00', '2013-12-31 22:00:00',
               '2013-12-31 22:15:00', '2013-12-31 22:30:00',
               '2013-12-31 22:45:00', '2013-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1800, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2013-12-1T00 to 2013-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               '2013-12-01 02:30:00', '2013-12-01 02:45:00',
               '2013-12-01 03:00:00', '2013-12-01 03:15:00',
               '2013-12-01 03:30:00', '2013-12-01 03:45:00',
               '2013-12-01 04:00:00', '2013-12-01 04:15:00',
               '2013-12-01 04:30:00', '2013-12-01 04:45:00',
               '2013-12-01 05:00:00', '2013-12-01 05:15:00',
               '2013-12-01 05:30:00', '2013-12-01 05:45:00',
               '2013-12-01 06:00:00', '2013-12-01 06:15:00',
               '2013-12-01 06:30:00', '2013-12-01 06:45:00',
               '2013-12-01 07:00:00', '2013-12-01 07:15:00',
               '2013-12-01 07:30:00', '2013-12-01 07:45:00',
               '2013-12-01 08:00:00', '2013-12-01 08:15:00',
               '2013-12-01 08:30:00', '2013-12-01 08:45:00',
               '2013-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               '2013-12-01 02:30:00', '2013-12-01 02:45:00',
               '2013-12-01 03:00:00', '2013-12-01 03:15:00',
               '2013-12-01 03:30:00', '2013-12-01 03:45:00',
               '2013-12-01 04:00:00', '2013-12-01 04:15:00',
               '2013-12-01 04:30:00', '2013-12-01 04:45:00',
               '2013-12-01 05:00:00', '2013-12-01 05:15:00',
               '2013-12-01 05:30:00', '2013-12-01 05:45:00',
               '2013-12-01 06:00:00', '2013-12-01 06:15:00',
               '2013-12-01 06:30:00', '2013-12-01 06:45:00',
               '2013-12-01 07:00:00', '2013-12-01 07:15:00',
               '2013-12-01 07:30:00', '2013-12-01 07:45:00',
               '2013-12-01 08:00:00', '2013-12-01 08:15:00',
               '2013-12-01 08:30:00', '2013-12-01 08:45:00',
               '2013-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               '2013-12-01 02:30:00', '2013-12-01 02:45:00',
               '2013-12-01 03:00:00', '2013-12-01 03:15:00',
               '2013-12-01 03:30:00', '2013-12-01 03:45:00',
               '2013-12-01 04:00:00', '2013-12-01 04:15:00',
               '2013-12-01 04:30:00', '2013-12-01 04:45:00',
               '2013-12-01 05:00:00', '2013-12-01 05:15:00',
               '2013-12-01 05:30:00', '2013-12-01 05:45:00',
               '2013-12-01 06:00:00', '2013-12-01 06:15:00',
               '2013-12-01 06:30:00', '2013-12-01 06:45:00',
               '2013-12-01 07:00:00', '2013-12-01 07:15:00',
               '2013-12-01 07:30:00', '2013-12-01 07:45:00',
               '2013-12-01 08:00:00', '2013-12-01 08:15:00',
               '2013-12-01 08:30:00', '2013-12-01 08:45:00',
               '2013-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2013-12-01 00:00:00', '2013-12-01 00:15:00',
               '2013-12-01 00:30:00', '2013-12-01 00:45:00',
               '2013-12-01 01:00:00', '2013-12-01 01:15:00',
               '2013-12-01 01:30:00', '2013-12-01 01:45:00',
               '2013-12-01 02:00:00', '2013-12-01 02:15:00',
               '2013-12-01 02:30:00', '2013-12-01 02:45:00',
               '2013-12-01 03:00:00', '2013-12-01 03:15:00',
               '2013-12-01 03:30:00', '2013-12-01 03:45:00',
               '2013-12-01 04:00:00', '2013-12-01 04:15:00',
               '2013-12-01 04:30:00', '2013-12-01 04:45:00',
               '2013-12-01 05:00:00', '2013-12-01 05:15:00',
               '2013-12-01 05:30:00', '2013-12-01 05:45:00',
               '2013-12-01 06:00:00', '2013-12-01 06:15:00',
               '2013-12-01 06:30:00', '2013-12-01 06:45:00',
               '2013-12-01 07:00:00', '2013-12-01 07:15:00',
               '2013-12-01 07:30:00', '2013-12-01 07:45:00',
               '2013-12-01 08:00:00', '2013-12-01 08:15:00',
               '2013-12-01 08:30:00', '2013-12-01 08:45:00',
               '2013-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2013-12-1T00 to 2013-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2014

year = 2014
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               '2014-01-01 02:30:00', '2014-01-01 02:45:00',
               '2014-01-01 03:00:00', '2014-01-01 03:15:00',
               '2014-01-01 03:30:00', '2014-01-01 03:45:00',
               '2014-01-01 04:00:00', '2014-01-01 04:15:00',
               '2014-01-01 04:30:00', '2014-01-01 04:45:00',
               '2014-01-01 05:00:00', '2014-01-01 05:15:00',
               '2014-01-01 05:30:00', '2014-01-01 05:45:00',
               '2014-01-01 06:00:00', '2014-01-01 06:15:00',
               '2014-01-01 06:30:00', '2014-01-01 06:45:00',
               '2014-01-01 07:00:00', '2014-01-01 07:15:00',
               '2014-01-01 07:30:00', '2014-01-01 07:45:00',
               '2014-01-01 08:00:00', '2014-01-01 08:15:00',
               '2014-01-01 08:30:00', '2014-01-01 08:45:00',
               '2014-01-01 09:00:00', '2014-01-31 13:45:00',
               '2014-01-31 14:00:00', '2014-01-31 14:15:00',
               '2014-01-31 14:30:00', '2014-01-31 14:45:00',
               '2014-01-31 15:00:00', '2014-01-31 15:15:00',
               '2014-01-31 15:30:00', '2014-01-31 15:45:00',
               '2014-01-31 16:00:00', '2014-01-31 16:15:00',
               '2014-01-31 16:30:00', '2014-01-31 16:45:00',
               '2014-01-31 17:00:00', '2014-01-31 17:15:00',
               '2014-01-31 17:30:00', '2014-01-31 17:45:00',
               '2014-01-31 18:00:00', '2014-01-31 18:15:00',
               '2014-01-31 18:30:00', '2014-01-31 18:45:00',
               '2014-01-31 19:00:00', '2014-01-31 19:15:00',
               '2014-01-31 19:30:00', '2014-01-31 19:45:00',
               '2014-01-31 20:00:00', '2014-01-31 20:15:00',
               '2014-01-31 20:30:00', '2014-01-31 20:45:00',
               '2014-01-31 21:00:00', '2014-01-31 21:15:00',
               '2014-01-31 21:30:00', '2014-01-31 21:45:00',
               '2014-01-31 22:00:00', '2014-01-31 22:15:00',
               '2014-01-31 22:30:00', '2014-01-31 22:45:00',
               '2014-01-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               '2014-01-01 02:30:00', '2014-01-01 02:45:00',
               '2014-01-01 03:00:00', '2014-01-01 03:15:00',
               '2014-01-01 03:30:00', '2014-01-01 03:45:00',
               '2014-01-01 04:00:00', '2014-01-01 04:15:00',
               '2014-01-01 04:30:00', '2014-01-01 04:45:00',
               '2014-01-01 05:00:00', '2014-01-01 05:15:00',
               '2014-01-01 05:30:00', '2014-01-01 05:45:00',
               '2014-01-01 06:00:00', '2014-01-01 06:15:00',
               '2014-01-01 06:30:00', '2014-01-01 06:45:00',
               '2014-01-01 07:00:00', '2014-01-01 07:15:00',
               '2014-01-01 07:30:00', '2014-01-01 07:45:00',
               '2014-01-01 08:00:00', '2014-01-01 08:15:00',
               '2014-01-01 08:30:00', '2014-01-01 08:45:00',
               '2014-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               ...
               '2014-01-31 20:45:00', '2014-01-31 21:00:00',
               '2014-01-31 21:15:00', '2014-01-31 21:30:00',
               '2014-01-31 21:45:00', '2014-01-31 22:00:00',
               '2014-01-31 22:15:00', '2014-01-31 22:30:00',
               '2014-01-31 22:45:00', '2014-01-31 23:00:00'],
              dtype='datetime64[ns]', length=961, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               ...
               '2014-01-31 20:45:00', '2014-01-31 21:00:00',
               '2014-01-31 21:15:00', '2014-01-31 21:30:00',
               '2014-01-31 21:45:00', '2014-01-31 22:00:00',
               '2014-01-31 22:15:00', '2014-01-31 22:30:00',
               '2014-01-31 22:45:00', '2014-01-31 23:00:00'],
              dtype='datetime64[ns]', length=287, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               ...
               '2014-01-28 06:30:00', '2014-01-28 06:45:00',
               '2014-01-28 07:00:00', '2014-01-28 07:15:00',
               '2014-01-28 07:30:00', '2014-01-28 07:45:00',
               '2014-01-28 08:00:00', '2014-01-28 08:15:00',
               '2014-01-28 08:30:00', '2014-01-28 08:45:00'],
              dtype='datetime64[ns]', length=2628, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-1-1T00 to 2014-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               '2014-01-01 02:30:00', '2014-01-01 02:45:00',
               '2014-01-01 03:00:00', '2014-01-01 03:15:00',
               '2014-01-01 03:30:00', '2014-01-01 03:45:00',
               '2014-01-01 04:00:00', '2014-01-01 04:15:00',
               '2014-01-01 04:30:00', '2014-01-01 04:45:00',
               '2014-01-01 05:00:00', '2014-01-01 05:15:00',
               '2014-01-01 05:30:00', '2014-01-01 05:45:00',
               '2014-01-01 06:00:00', '2014-01-01 06:15:00',
               '2014-01-01 06:30:00', '2014-01-01 06:45:00',
               '2014-01-01 07:00:00', '2014-01-01 07:15:00',
               '2014-01-01 07:30:00', '2014-01-01 07:45:00',
               '2014-01-01 08:00:00', '2014-01-01 08:15:00',
               '2014-01-01 08:30:00', '2014-01-01 08:45:00',
               '2014-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               '2014-01-01 02:30:00', '2014-01-01 02:45:00',
               '2014-01-01 03:00:00', '2014-01-01 03:15:00',
               '2014-01-01 03:30:00', '2014-01-01 03:45:00',
               '2014-01-01 04:00:00', '2014-01-01 04:15:00',
               '2014-01-01 04:30:00', '2014-01-01 04:45:00',
               '2014-01-01 05:00:00', '2014-01-01 05:15:00',
               '2014-01-01 05:30:00', '2014-01-01 05:45:00',
               '2014-01-01 06:00:00', '2014-01-01 06:15:00',
               '2014-01-01 06:30:00', '2014-01-01 06:45:00',
               '2014-01-01 07:00:00', '2014-01-01 07:15:00',
               '2014-01-01 07:30:00', '2014-01-01 07:45:00',
               '2014-01-01 08:00:00', '2014-01-01 08:15:00',
               '2014-01-01 08:30:00', '2014-01-01 08:45:00',
               '2014-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               '2014-01-01 02:30:00', '2014-01-01 02:45:00',
               '2014-01-01 03:00:00', '2014-01-01 03:15:00',
               '2014-01-01 03:30:00', '2014-01-01 03:45:00',
               '2014-01-01 04:00:00', '2014-01-01 04:15:00',
               '2014-01-01 04:30:00', '2014-01-01 04:45:00',
               '2014-01-01 05:00:00', '2014-01-01 05:15:00',
               '2014-01-01 05:30:00', '2014-01-01 05:45:00',
               '2014-01-01 06:00:00', '2014-01-01 06:15:00',
               '2014-01-01 06:30:00', '2014-01-01 06:45:00',
               '2014-01-01 07:00:00', '2014-01-01 07:15:00',
               '2014-01-01 07:30:00', '2014-01-01 07:45:00',
               '2014-01-01 08:00:00', '2014-01-01 08:15:00',
               '2014-01-01 08:30:00', '2014-01-01 08:45:00',
               '2014-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-01-01 00:00:00', '2014-01-01 00:15:00',
               '2014-01-01 00:30:00', '2014-01-01 00:45:00',
               '2014-01-01 01:00:00', '2014-01-01 01:15:00',
               '2014-01-01 01:30:00', '2014-01-01 01:45:00',
               '2014-01-01 02:00:00', '2014-01-01 02:15:00',
               '2014-01-01 02:30:00', '2014-01-01 02:45:00',
               '2014-01-01 03:00:00', '2014-01-01 03:15:00',
               '2014-01-01 03:30:00', '2014-01-01 03:45:00',
               '2014-01-01 04:00:00', '2014-01-01 04:15:00',
               '2014-01-01 04:30:00', '2014-01-01 04:45:00',
               '2014-01-01 05:00:00', '2014-01-01 05:15:00',
               '2014-01-01 05:30:00', '2014-01-01 05:45:00',
               '2014-01-01 06:00:00', '2014-01-01 06:15:00',
               '2014-01-01 06:30:00', '2014-01-01 06:45:00',
               '2014-01-01 07:00:00', '2014-01-01 07:15:00',
               '2014-01-01 07:30:00', '2014-01-01 07:45:00',
               '2014-01-01 08:00:00', '2014-01-01 08:15:00',
               '2014-01-01 08:30:00', '2014-01-01 08:45:00',
               '2014-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-1-1T00 to 2014-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.89, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               ...
               '2014-02-19 04:00:00', '2014-02-19 04:15:00',
               '2014-02-20 15:45:00', '2014-02-20 16:00:00',
               '2014-02-20 16:15:00', '2014-02-20 16:30:00',
               '2014-02-20 16:45:00', '2014-02-20 17:00:00',
               '2014-02-20 17:15:00', '2014-02-20 17:30:00'],
              dtype='datetime64[ns]', length=1560, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               '2014-02-01 02:30:00', '2014-02-01 02:45:00',
               '2014-02-01 03:00:00', '2014-02-01 03:15:00',
               '2014-02-01 03:30:00', '2014-02-01 03:45:00',
               '2014-02-01 04:00:00', '2014-02-01 04:15:00',
               '2014-02-01 04:30:00', '2014-02-01 04:45:00',
               '2014-02-01 05:00:00', '2014-02-01 05:15:00',
               '2014-02-01 05:30:00', '2014-02-01 05:45:00',
               '2014-02-01 06:00:00', '2014-02-01 06:15:00',
               '2014-02-01 06:30:00', '2014-02-01 06:45:00',
               '2014-02-01 07:00:00', '2014-02-01 07:15:00',
               '2014-02-01 07:30:00', '2014-02-01 07:45:00',
               '2014-02-01 08:00:00', '2014-02-01 08:15:00',
               '2014-02-01 08:30:00', '2014-02-01 08:45:00',
               '2014-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-02-05 09:00:00', '2014-02-05 09:15:00',
               '2014-02-05 09:30:00', '2014-02-05 09:45:00',
               '2014-02-05 10:00:00', '2014-02-05 10:15:00',
               '2014-02-05 10:30:00', '2014-02-05 10:45:00',
               '2014-02-05 11:00:00', '2014-02-05 11:15:00',
               ...
               '2014-02-26 06:30:00', '2014-02-26 06:45:00',
               '2014-02-26 07:00:00', '2014-02-26 07:15:00',
               '2014-02-26 07:30:00', '2014-02-26 07:45:00',
               '2014-02-26 08:00:00', '2014-02-26 08:15:00',
               '2014-02-26 08:30:00', '2014-02-26 08:45:00'],
              dtype='datetime64[ns]', length=2016, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               ...
               '2014-02-03 06:45:00', '2014-02-03 07:00:00',
               '2014-02-03 07:15:00', '2014-02-03 07:30:00',
               '2014-02-03 07:45:00', '2014-02-03 08:00:00',
               '2014-02-03 08:15:00', '2014-02-03 08:30:00',
               '2014-02-03 08:45:00', '2014-02-03 09:00:00'],
              dtype='datetime64[ns]', length=229, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-02-06 09:00:00', '2014-02-06 09:15:00',
               '2014-02-06 09:30:00', '2014-02-06 09:45:00',
               '2014-02-06 10:00:00', '2014-02-06 10:15:00',
               '2014-02-06 10:30:00', '2014-02-06 10:45:00',
               '2014-02-06 11:00:00', '2014-02-06 11:15:00',
               ...
               '2014-02-28 20:45:00', '2014-02-28 21:00:00',
               '2014-02-28 21:15:00', '2014-02-28 21:30:00',
               '2014-02-28 21:45:00', '2014-02-28 22:00:00',
               '2014-02-28 22:15:00', '2014-02-28 22:30:00',
               '2014-02-28 22:45:00', '2014-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2169, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               '2014-02-01 02:30:00', '2014-02-01 02:45:00',
               '2014-02-01 03:00:00', '2014-02-01 03:15:00',
               '2014-02-01 03:30:00', '2014-02-01 03:45:00',
               '2014-02-01 04:00:00', '2014-02-01 04:15:00',
               '2014-02-01 04:30:00', '2014-02-01 04:45:00',
               '2014-02-01 05:00:00', '2014-02-01 05:15:00',
               '2014-02-01 05:30:00', '2014-02-01 05:45:00',
               '2014-02-01 06:00:00', '2014-02-01 06:15:00',
               '2014-02-01 06:30:00', '2014-02-01 06:45:00',
               '2014-02-01 07:00:00', '2014-02-01 07:15:00',
               '2014-02-01 07:30:00', '2014-02-01 07:45:00',
               '2014-02-01 08:00:00', '2014-02-01 08:15:00',
               '2014-02-01 08:30:00', '2014-02-01 08:45:00',
               '2014-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-2-1T00 to 2014-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               '2014-02-01 02:30:00', '2014-02-01 02:45:00',
               '2014-02-01 03:00:00', '2014-02-01 03:15:00',
               '2014-02-01 03:30:00', '2014-02-01 03:45:00',
               '2014-02-01 04:00:00', '2014-02-01 04:15:00',
               '2014-02-01 04:30:00', '2014-02-01 04:45:00',
               '2014-02-01 05:00:00', '2014-02-01 05:15:00',
               '2014-02-01 05:30:00', '2014-02-01 05:45:00',
               '2014-02-01 06:00:00', '2014-02-01 06:15:00',
               '2014-02-01 06:30:00', '2014-02-01 06:45:00',
               '2014-02-01 07:00:00', '2014-02-01 07:15:00',
               '2014-02-01 07:30:00', '2014-02-01 07:45:00',
               '2014-02-01 08:00:00', '2014-02-01 08:15:00',
               '2014-02-01 08:30:00', '2014-02-01 08:45:00',
               '2014-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               '2014-02-01 02:30:00', '2014-02-01 02:45:00',
               '2014-02-01 03:00:00', '2014-02-01 03:15:00',
               '2014-02-01 03:30:00', '2014-02-01 03:45:00',
               '2014-02-01 04:00:00', '2014-02-01 04:15:00',
               '2014-02-01 04:30:00', '2014-02-01 04:45:00',
               '2014-02-01 05:00:00', '2014-02-01 05:15:00',
               '2014-02-01 05:30:00', '2014-02-01 05:45:00',
               '2014-02-01 06:00:00', '2014-02-01 06:15:00',
               '2014-02-01 06:30:00', '2014-02-01 06:45:00',
               '2014-02-01 07:00:00', '2014-02-01 07:15:00',
               '2014-02-01 07:30:00', '2014-02-01 07:45:00',
               '2014-02-01 08:00:00', '2014-02-01 08:15:00',
               '2014-02-01 08:30:00', '2014-02-01 08:45:00',
               '2014-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               '2014-02-01 02:30:00', '2014-02-01 02:45:00',
               '2014-02-01 03:00:00', '2014-02-01 03:15:00',
               '2014-02-01 03:30:00', '2014-02-01 03:45:00',
               '2014-02-01 04:00:00', '2014-02-01 04:15:00',
               '2014-02-01 04:30:00', '2014-02-01 04:45:00',
               '2014-02-01 05:00:00', '2014-02-01 05:15:00',
               '2014-02-01 05:30:00', '2014-02-01 05:45:00',
               '2014-02-01 06:00:00', '2014-02-01 06:15:00',
               '2014-02-01 06:30:00', '2014-02-01 06:45:00',
               '2014-02-01 07:00:00', '2014-02-01 07:15:00',
               '2014-02-01 07:30:00', '2014-02-01 07:45:00',
               '2014-02-01 08:00:00', '2014-02-01 08:15:00',
               '2014-02-01 08:30:00', '2014-02-01 08:45:00',
               '2014-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-02-01 00:00:00', '2014-02-01 00:15:00',
               '2014-02-01 00:30:00', '2014-02-01 00:45:00',
               '2014-02-01 01:00:00', '2014-02-01 01:15:00',
               '2014-02-01 01:30:00', '2014-02-01 01:45:00',
               '2014-02-01 02:00:00', '2014-02-01 02:15:00',
               '2014-02-01 02:30:00', '2014-02-01 02:45:00',
               '2014-02-01 03:00:00', '2014-02-01 03:15:00',
               '2014-02-01 03:30:00', '2014-02-01 03:45:00',
               '2014-02-01 04:00:00', '2014-02-01 04:15:00',
               '2014-02-01 04:30:00', '2014-02-01 04:45:00',
               '2014-02-01 05:00:00', '2014-02-01 05:15:00',
               '2014-02-01 05:30:00', '2014-02-01 05:45:00',
               '2014-02-01 06:00:00', '2014-02-01 06:15:00',
               '2014-02-01 06:30:00', '2014-02-01 06:45:00',
               '2014-02-01 07:00:00', '2014-02-01 07:15:00',
               '2014-02-01 07:30:00', '2014-02-01 07:45:00',
               '2014-02-01 08:00:00', '2014-02-01 08:15:00',
               '2014-02-01 08:30:00', '2014-02-01 08:45:00',
               '2014-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-2-1T00 to 2014-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               ...
               '2014-03-04 21:15:00', '2014-03-04 21:30:00',
               '2014-03-04 21:45:00', '2014-03-04 22:00:00',
               '2014-03-04 22:15:00', '2014-03-04 22:30:00',
               '2014-03-04 22:45:00', '2014-03-04 23:00:00',
               '2014-03-04 23:15:00', '2014-03-04 23:30:00'],
              dtype='datetime64[ns]', length=278, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               '2014-03-01 02:30:00', '2014-03-01 02:45:00',
               '2014-03-01 03:00:00', '2014-03-01 03:15:00',
               '2014-03-01 03:30:00', '2014-03-01 03:45:00',
               '2014-03-01 04:00:00', '2014-03-01 04:15:00',
               '2014-03-01 04:30:00', '2014-03-01 04:45:00',
               '2014-03-01 05:00:00', '2014-03-01 05:15:00',
               '2014-03-01 05:30:00', '2014-03-01 05:45:00',
               '2014-03-01 06:00:00', '2014-03-01 06:15:00',
               '2014-03-01 06:30:00', '2014-03-01 06:45:00',
               '2014-03-01 07:00:00', '2014-03-01 07:15:00',
               '2014-03-01 07:30:00', '2014-03-01 07:45:00',
               '2014-03-01 08:00:00', '2014-03-01 08:15:00',
               '2014-03-01 08:30:00', '2014-03-01 08:45:00',
               '2014-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-03-06 09:00:00', '2014-03-06 09:15:00',
               '2014-03-06 09:30:00', '2014-03-06 09:45:00',
               '2014-03-06 10:00:00', '2014-03-06 10:15:00',
               '2014-03-06 10:30:00', '2014-03-06 10:45:00',
               '2014-03-06 11:00:00', '2014-03-06 11:15:00',
               ...
               '2014-03-31 20:45:00', '2014-03-31 21:00:00',
               '2014-03-31 21:15:00', '2014-03-31 21:30:00',
               '2014-03-31 21:45:00', '2014-03-31 22:00:00',
               '2014-03-31 22:15:00', '2014-03-31 22:30:00',
               '2014-03-31 22:45:00', '2014-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2361, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               ...
               '2014-03-05 06:45:00', '2014-03-05 07:00:00',
               '2014-03-05 07:15:00', '2014-03-05 07:30:00',
               '2014-03-05 07:45:00', '2014-03-05 08:00:00',
               '2014-03-05 08:15:00', '2014-03-05 08:30:00',
               '2014-03-05 08:45:00', '2014-03-05 09:00:00'],
              dtype='datetime64[ns]', length=421, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               ...
               '2014-03-17 05:30:00', '2014-03-17 05:45:00',
               '2014-03-17 06:00:00', '2014-03-17 06:15:00',
               '2014-03-17 06:30:00', '2014-03-17 06:45:00',
               '2014-03-17 07:00:00', '2014-03-17 07:15:00',
               '2014-03-17 07:30:00', '2014-03-17 07:45:00'],
              dtype='datetime64[ns]', length=1568, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               ...
               '2014-03-18 05:30:00', '2014-03-18 05:45:00',
               '2014-03-18 06:00:00', '2014-03-18 06:15:00',
               '2014-03-18 06:30:00', '2014-03-18 06:45:00',
               '2014-03-18 07:00:00', '2014-03-18 07:15:00',
               '2014-03-18 07:30:00', '2014-03-18 07:45:00'],
              dtype='datetime64[ns]', length=1664, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-20 07:45:00', '2014-03-20 08:00:00',
               '2014-03-20 08:15:00', '2014-03-20 08:30:00',
               '2014-03-20 08:45:00', '2014-03-20 09:00:00',
               '2014-03-20 09:15:00', '2014-03-20 09:30:00',
               '2014-03-20 09:45:00', '2014-03-20 10:00:00',
               ...
               '2014-03-26 05:45:00', '2014-03-26 06:00:00',
               '2014-03-26 06:15:00', '2014-03-26 06:30:00',
               '2014-03-26 06:45:00', '2014-03-26 07:00:00',
               '2014-03-26 07:15:00', '2014-03-26 07:30:00',
               '2014-03-26 07:45:00', '2014-03-26 08:00:00'],
              dtype='datetime64[ns]', length=388, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-3-1T00 to 2014-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               '2014-03-01 02:30:00', '2014-03-01 02:45:00',
               '2014-03-01 03:00:00', '2014-03-01 03:15:00',
               '2014-03-01 03:30:00', '2014-03-01 03:45:00',
               '2014-03-01 04:00:00', '2014-03-01 04:15:00',
               '2014-03-01 04:30:00', '2014-03-01 04:45:00',
               '2014-03-01 05:00:00', '2014-03-01 05:15:00',
               '2014-03-01 05:30:00', '2014-03-01 05:45:00',
               '2014-03-01 06:00:00', '2014-03-01 06:15:00',
               '2014-03-01 06:30:00', '2014-03-01 06:45:00',
               '2014-03-01 07:00:00', '2014-03-01 07:15:00',
               '2014-03-01 07:30:00', '2014-03-01 07:45:00',
               '2014-03-01 08:00:00', '2014-03-01 08:15:00',
               '2014-03-01 08:30:00', '2014-03-01 08:45:00',
               '2014-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               ...
               '2014-03-28 05:45:00', '2014-03-28 06:00:00',
               '2014-03-28 06:15:00', '2014-03-28 06:30:00',
               '2014-03-28 06:45:00', '2014-03-28 07:00:00',
               '2014-03-28 07:15:00', '2014-03-28 07:30:00',
               '2014-03-28 07:45:00', '2014-03-28 08:00:00'],
              dtype='datetime64[ns]', length=327, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               '2014-03-01 02:30:00', '2014-03-01 02:45:00',
               '2014-03-01 03:00:00', '2014-03-01 03:15:00',
               '2014-03-01 03:30:00', '2014-03-01 03:45:00',
               '2014-03-01 04:00:00', '2014-03-01 04:15:00',
               '2014-03-01 04:30:00', '2014-03-01 04:45:00',
               '2014-03-01 05:00:00', '2014-03-01 05:15:00',
               '2014-03-01 05:30:00', '2014-03-01 05:45:00',
               '2014-03-01 06:00:00', '2014-03-01 06:15:00',
               '2014-03-01 06:30:00', '2014-03-01 06:45:00',
               '2014-03-01 07:00:00', '2014-03-01 07:15:00',
               '2014-03-01 07:30:00', '2014-03-01 07:45:00',
               '2014-03-01 08:00:00', '2014-03-01 08:15:00',
               '2014-03-01 08:30:00', '2014-03-01 08:45:00',
               '2014-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-03-01 00:00:00', '2014-03-01 00:15:00',
               '2014-03-01 00:30:00', '2014-03-01 00:45:00',
               '2014-03-01 01:00:00', '2014-03-01 01:15:00',
               '2014-03-01 01:30:00', '2014-03-01 01:45:00',
               '2014-03-01 02:00:00', '2014-03-01 02:15:00',
               '2014-03-01 02:30:00', '2014-03-01 02:45:00',
               '2014-03-01 03:00:00', '2014-03-01 03:15:00',
               '2014-03-01 03:30:00', '2014-03-01 03:45:00',
               '2014-03-01 04:00:00', '2014-03-01 04:15:00',
               '2014-03-01 04:30:00', '2014-03-01 04:45:00',
               '2014-03-01 05:00:00', '2014-03-01 05:15:00',
               '2014-03-01 05:30:00', '2014-03-01 05:45:00',
               '2014-03-01 06:00:00', '2014-03-01 06:15:00',
               '2014-03-01 06:30:00', '2014-03-01 06:45:00',
               '2014-03-01 07:00:00', '2014-03-01 07:15:00',
               '2014-03-01 07:30:00', '2014-03-01 07:45:00',
               '2014-03-01 08:00:00', '2014-03-01 08:15:00',
               '2014-03-01 08:30:00', '2014-03-01 08:45:00',
               '2014-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-3-1T00 to 2014-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               ...
               '2014-04-14 05:30:00', '2014-04-14 05:45:00',
               '2014-04-14 06:00:00', '2014-04-14 06:15:00',
               '2014-04-14 06:30:00', '2014-04-14 06:45:00',
               '2014-04-14 07:00:00', '2014-04-14 07:15:00',
               '2014-04-14 07:30:00', '2014-04-14 07:45:00'],
              dtype='datetime64[ns]', length=1280, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00', '2014-04-06 23:45:00',
               '2014-04-07 00:00:00', '2014-04-07 00:15:00',
               '2014-04-07 01:45:00', '2014-04-07 02:00:00',
               '2014-04-07 02:15:00', '2014-04-07 02:30:00',
               '2014-04-07 02:45:00', '2014-04-07 03:00:00',
               '2014-04-07 03:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               ...
               '2014-04-04 05:45:00', '2014-04-04 06:00:00',
               '2014-04-04 06:15:00', '2014-04-04 06:30:00',
               '2014-04-04 06:45:00', '2014-04-04 07:00:00',
               '2014-04-04 07:15:00', '2014-04-04 07:30:00',
               '2014-04-04 07:45:00', '2014-04-04 08:00:00'],
              dtype='datetime64[ns]', length=321, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               ...
               '2014-04-12 17:30:00', '2014-04-12 17:45:00',
               '2014-04-12 18:00:00', '2014-04-12 18:15:00',
               '2014-04-12 18:30:00', '2014-04-12 18:45:00',
               '2014-04-12 19:00:00', '2014-04-12 19:15:00',
               '2014-04-12 19:30:00', '2014-04-12 19:45:00'],
              dtype='datetime64[ns]', length=1136, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-14 19:30:00', '2014-04-14 19:45:00',
               '2014-04-14 20:00:00', '2014-04-14 20:15:00',
               '2014-04-14 20:30:00', '2014-04-14 20:45:00',
               '2014-04-14 21:00:00', '2014-04-14 21:15:00',
               '2014-04-14 21:30:00', '2014-04-14 21:45:00',
               '2014-04-14 22:00:00', '2014-04-14 22:15:00',
               '2014-04-14 22:30:00', '2014-04-14 22:45:00',
               '2014-04-14 23:00:00', '2014-04-14 23:15:00',
               '2014-04-14 23:30:00', '2014-04-14 23:45:00',
               '2014-04-15 00:00:00', '2014-04-15 00:15:00',
               '2014-04-15 00:30:00', '2014-04-15 00:45:00',
               '2014-04-15 01:00:00', '2014-04-15 01:15:00',
               '2014-04-15 01:30:00', '2014-04-15 01:45:00',
               '2014-04-15 02:00:00', '2014-04-15 02:15:00',
               '2014-04-15 02:30:00', '2014-04-15 02:45:00',
               '2014-04-15 03:00:00', '2014-04-15 03:15:00',
               '2014-04-15 03:30:00', '2014-04-15 03:45:00',
               '2014-04-15 04:00:00', '2014-04-15 04:15:00',
               '2014-04-15 04:30:00', '2014-04-15 04:45:00',
               '2014-04-15 05:00:00', '2014-04-15 05:15:00',
               '2014-04-15 05:30:00', '2014-04-15 05:45:00',
               '2014-04-15 06:00:00', '2014-04-15 06:15:00',
               '2014-04-15 06:30:00', '2014-04-15 06:45:00',
               '2014-04-15 07:00:00', '2014-04-15 07:15:00',
               '2014-04-15 07:30:00', '2014-04-15 07:45:00',
               '2014-04-15 08:00:00', '2014-04-15 08:15:00',
               '2014-04-15 08:30:00', '2014-04-15 08:45:00',
               '2014-04-15 09:00:00', '2014-04-15 09:15:00',
               '2014-04-15 09:30:00', '2014-04-15 09:45:00',
               '2014-04-15 10:00:00', '2014-04-15 10:15:00',
               '2014-04-15 10:30:00', '2014-04-15 10:45:00',
               '2014-04-15 11:00:00', '2014-04-15 11:15:00',
               '2014-04-15 11:30:00', '2014-04-15 11:45:00',
               '2014-04-15 12:00:00', '2014-04-15 12:15:00',
               '2014-04-15 12:30:00', '2014-04-15 12:45:00',
               '2014-04-15 13:00:00', '2014-04-15 13:15:00',
               '2014-04-15 13:30:00', '2014-04-15 13:45:00',
               '2014-04-15 14:00:00', '2014-04-15 14:15:00',
               '2014-04-15 14:30:00', '2014-04-15 14:45:00',
               '2014-04-15 15:00:00', '2014-04-15 15:15:00',
               '2014-04-15 15:30:00', '2014-04-15 15:45:00',
               '2014-04-15 16:00:00', '2014-04-15 16:15:00',
               '2014-04-15 16:30:00', '2014-04-15 16:45:00',
               '2014-04-15 17:00:00', '2014-04-15 17:15:00',
               '2014-04-15 17:30:00', '2014-04-15 17:45:00',
               '2014-04-15 18:00:00', '2014-04-15 18:15:00',
               '2014-04-15 18:30:00', '2014-04-15 18:45:00',
               '2014-04-15 19:00:00', '2014-04-15 19:15:00',
               '2014-04-15 19:30:00', '2014-04-15 19:45:00',
               '2014-04-15 20:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               ...
               '2014-04-13 05:30:00', '2014-04-13 05:45:00',
               '2014-04-13 06:00:00', '2014-04-13 06:15:00',
               '2014-04-13 06:30:00', '2014-04-13 06:45:00',
               '2014-04-13 07:00:00', '2014-04-13 07:15:00',
               '2014-04-13 07:30:00', '2014-04-13 07:45:00'],
              dtype='datetime64[ns]', length=1184, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-14 07:45:00', '2014-04-14 08:00:00',
               '2014-04-14 08:15:00', '2014-04-14 08:30:00',
               '2014-04-14 08:45:00', '2014-04-14 09:00:00',
               '2014-04-14 09:15:00', '2014-04-14 09:30:00',
               '2014-04-14 09:45:00', '2014-04-14 10:00:00',
               ...
               '2014-04-18 17:30:00', '2014-04-19 05:45:00',
               '2014-04-19 06:00:00', '2014-04-19 06:15:00',
               '2014-04-27 14:00:00', '2014-04-27 14:15:00',
               '2014-04-27 14:30:00', '2014-04-28 03:00:00',
               '2014-04-28 03:15:00', '2014-04-28 03:30:00'],
              dtype='datetime64[ns]', length=209, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00', '2014-04-25 18:00:00',
               '2014-04-25 18:15:00', '2014-04-25 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               ...
               '2014-04-30 05:45:00', '2014-04-30 06:00:00',
               '2014-04-30 06:15:00', '2014-04-30 06:30:00',
               '2014-04-30 06:45:00', '2014-04-30 07:00:00',
               '2014-04-30 07:15:00', '2014-04-30 07:30:00',
               '2014-04-30 07:45:00', '2014-04-30 08:00:00'],
              dtype='datetime64[ns]', length=807, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               ...
               '2014-04-18 05:30:00', '2014-04-18 05:45:00',
               '2014-04-18 06:00:00', '2014-04-18 06:15:00',
               '2014-04-18 06:30:00', '2014-04-18 06:45:00',
               '2014-04-18 07:00:00', '2014-04-18 07:15:00',
               '2014-04-18 07:30:00', '2014-04-18 07:45:00'],
              dtype='datetime64[ns]', length=1664, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-4-1T00 to 2014-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               ...
               '2014-04-21 05:30:00', '2014-04-21 05:45:00',
               '2014-04-21 06:00:00', '2014-04-21 06:15:00',
               '2014-04-21 06:30:00', '2014-04-21 06:45:00',
               '2014-04-21 07:00:00', '2014-04-21 07:15:00',
               '2014-04-21 07:30:00', '2014-04-21 07:45:00'],
              dtype='datetime64[ns]', length=1952, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-04-01 00:00:00', '2014-04-01 00:15:00',
               '2014-04-01 00:30:00', '2014-04-01 00:45:00',
               '2014-04-01 01:00:00', '2014-04-01 01:15:00',
               '2014-04-01 01:30:00', '2014-04-01 01:45:00',
               '2014-04-01 02:00:00', '2014-04-01 02:15:00',
               '2014-04-01 02:30:00', '2014-04-01 02:45:00',
               '2014-04-01 03:00:00', '2014-04-01 03:15:00',
               '2014-04-01 03:30:00', '2014-04-01 03:45:00',
               '2014-04-01 04:00:00', '2014-04-01 04:15:00',
               '2014-04-01 04:30:00', '2014-04-01 04:45:00',
               '2014-04-01 05:00:00', '2014-04-01 05:15:00',
               '2014-04-01 05:30:00', '2014-04-01 05:45:00',
               '2014-04-01 06:00:00', '2014-04-01 06:15:00',
               '2014-04-01 06:30:00', '2014-04-01 06:45:00',
               '2014-04-01 07:00:00', '2014-04-01 07:15:00',
               '2014-04-01 07:30:00', '2014-04-01 07:45:00',
               '2014-04-01 08:00:00', '2014-04-07 13:45:00',
               '2014-04-07 14:00:00', '2014-04-07 14:15:00',
               '2014-04-07 14:30:00', '2014-04-07 14:45:00',
               '2014-04-07 15:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-4-1T00 to 2014-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00', '2014-05-14 10:15:00',
               '2014-05-14 10:30:00', '2014-05-14 10:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00', '2014-05-11 09:15:00',
               '2014-05-11 09:30:00', '2014-05-11 09:45:00',
               '2014-05-12 06:30:00', '2014-05-12 06:45:00',
               '2014-05-12 07:00:00', '2014-05-12 11:15:00',
               '2014-05-12 11:30:00', '2014-05-12 11:45:00',
               '2014-05-13 18:30:00', '2014-05-13 18:45:00',
               '2014-05-13 19:00:00', '2014-05-14 21:30:00',
               '2014-05-14 21:45:00', '2014-05-14 22:00:00',
               '2014-05-18 15:30:00', '2014-05-18 15:45:00',
               '2014-05-18 16:00:00', '2014-05-18 18:30:00',
               '2014-05-18 18:45:00', '2014-05-18 19:00:00',
               '2014-05-19 12:00:00', '2014-05-19 12:15:00',
               '2014-05-19 12:30:00', '2014-05-21 03:30:00',
               '2014-05-21 03:45:00', '2014-05-21 04:00:00',
               '2014-05-21 07:30:00', '2014-05-21 07:45:00',
               '2014-05-21 08:00:00', '2014-05-21 15:00:00',
               '2014-05-21 15:15:00', '2014-05-21 15:30:00',
               '2014-05-22 03:45:00', '2014-05-22 04:00:00',
               '2014-05-22 04:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00', '2014-05-08 23:00:00',
               '2014-05-08 23:15:00', '2014-05-08 23:30:00',
               '2014-05-08 23:45:00', '2014-05-09 00:00:00',
               '2014-05-09 00:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               ...
               '2014-05-06 05:45:00', '2014-05-06 06:00:00',
               '2014-05-06 06:15:00', '2014-05-06 06:30:00',
               '2014-05-06 06:45:00', '2014-05-06 07:00:00',
               '2014-05-06 07:15:00', '2014-05-06 07:30:00',
               '2014-05-06 07:45:00', '2014-05-06 08:00:00'],
              dtype='datetime64[ns]', length=513, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-5-1T00 to 2014-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               ...
               '2014-05-17 05:45:00', '2014-05-17 06:00:00',
               '2014-05-17 06:15:00', '2014-05-17 06:30:00',
               '2014-05-17 06:45:00', '2014-05-17 07:00:00',
               '2014-05-17 07:15:00', '2014-05-17 07:30:00',
               '2014-05-17 07:45:00', '2014-05-17 08:00:00'],
              dtype='datetime64[ns]', length=803, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               ...
               '2014-05-09 05:30:00', '2014-05-09 05:45:00',
               '2014-05-09 06:00:00', '2014-05-09 06:15:00',
               '2014-05-09 06:30:00', '2014-05-09 06:45:00',
               '2014-05-09 07:00:00', '2014-05-09 07:15:00',
               '2014-05-09 07:30:00', '2014-05-09 07:45:00'],
              dtype='datetime64[ns]', length=800, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-05-01 00:00:00', '2014-05-01 00:15:00',
               '2014-05-01 00:30:00', '2014-05-01 00:45:00',
               '2014-05-01 01:00:00', '2014-05-01 01:15:00',
               '2014-05-01 01:30:00', '2014-05-01 01:45:00',
               '2014-05-01 02:00:00', '2014-05-01 02:15:00',
               '2014-05-01 02:30:00', '2014-05-01 02:45:00',
               '2014-05-01 03:00:00', '2014-05-01 03:15:00',
               '2014-05-01 03:30:00', '2014-05-01 03:45:00',
               '2014-05-01 04:00:00', '2014-05-01 04:15:00',
               '2014-05-01 04:30:00', '2014-05-01 04:45:00',
               '2014-05-01 05:00:00', '2014-05-01 05:15:00',
               '2014-05-01 05:30:00', '2014-05-01 05:45:00',
               '2014-05-01 06:00:00', '2014-05-01 06:15:00',
               '2014-05-01 06:30:00', '2014-05-01 06:45:00',
               '2014-05-01 07:00:00', '2014-05-01 07:15:00',
               '2014-05-01 07:30:00', '2014-05-01 07:45:00',
               '2014-05-01 08:00:00', '2014-05-06 02:45:00',
               '2014-05-06 03:00:00', '2014-05-06 03:15:00',
               '2014-05-06 03:30:00', '2014-05-06 03:45:00',
               '2014-05-07 20:45:00', '2014-05-07 21:00:00',
               '2014-05-07 21:15:00', '2014-05-07 21:30:00',
               '2014-05-07 21:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-5-1T00 to 2014-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00', '2014-06-08 06:45:00',
               '2014-06-08 07:00:00', '2014-06-08 07:15:00',
               '2014-06-08 11:15:00', '2014-06-08 11:30:00',
               '2014-06-08 11:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               ...
               '2014-06-15 07:45:00', '2014-06-15 08:00:00',
               '2014-06-15 12:00:00', '2014-06-15 12:15:00',
               '2014-06-15 12:30:00', '2014-06-15 12:45:00',
               '2014-06-15 13:00:00', '2014-06-15 13:15:00',
               '2014-06-15 13:30:00', '2014-06-15 13:45:00'],
              dtype='datetime64[ns]', length=147, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00', '2014-06-05 19:00:00',
               '2014-06-05 19:15:00', '2014-06-05 19:30:00',
               '2014-06-05 19:45:00', '2014-06-05 20:00:00',
               '2014-06-05 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-6-1T00 to 2014-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00', '2014-06-10 18:00:00',
               '2014-06-10 18:15:00', '2014-06-10 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-06-01 00:00:00', '2014-06-01 00:15:00',
               '2014-06-01 00:30:00', '2014-06-01 00:45:00',
               '2014-06-01 01:00:00', '2014-06-01 01:15:00',
               '2014-06-01 01:30:00', '2014-06-01 01:45:00',
               '2014-06-01 02:00:00', '2014-06-01 02:15:00',
               '2014-06-01 02:30:00', '2014-06-01 02:45:00',
               '2014-06-01 03:00:00', '2014-06-01 03:15:00',
               '2014-06-01 03:30:00', '2014-06-01 03:45:00',
               '2014-06-01 04:00:00', '2014-06-01 04:15:00',
               '2014-06-01 04:30:00', '2014-06-01 04:45:00',
               '2014-06-01 05:00:00', '2014-06-01 05:15:00',
               '2014-06-01 05:30:00', '2014-06-01 05:45:00',
               '2014-06-01 06:00:00', '2014-06-01 06:15:00',
               '2014-06-01 06:30:00', '2014-06-01 06:45:00',
               '2014-06-01 07:00:00', '2014-06-01 07:15:00',
               '2014-06-01 07:30:00', '2014-06-01 07:45:00',
               '2014-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-6-1T00 to 2014-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               ...
               '2014-07-16 05:45:00', '2014-07-16 06:00:00',
               '2014-07-16 06:15:00', '2014-07-16 06:30:00',
               '2014-07-16 06:45:00', '2014-07-16 07:00:00',
               '2014-07-16 07:15:00', '2014-07-16 07:30:00',
               '2014-07-16 07:45:00', '2014-07-16 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-7-1T00 to 2014-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-07-01 00:00:00', '2014-07-01 00:15:00',
               '2014-07-01 00:30:00', '2014-07-01 00:45:00',
               '2014-07-01 01:00:00', '2014-07-01 01:15:00',
               '2014-07-01 01:30:00', '2014-07-01 01:45:00',
               '2014-07-01 02:00:00', '2014-07-01 02:15:00',
               '2014-07-01 02:30:00', '2014-07-01 02:45:00',
               '2014-07-01 03:00:00', '2014-07-01 03:15:00',
               '2014-07-01 03:30:00', '2014-07-01 03:45:00',
               '2014-07-01 04:00:00', '2014-07-01 04:15:00',
               '2014-07-01 04:30:00', '2014-07-01 04:45:00',
               '2014-07-01 05:00:00', '2014-07-01 05:15:00',
               '2014-07-01 05:30:00', '2014-07-01 05:45:00',
               '2014-07-01 06:00:00', '2014-07-01 06:15:00',
               '2014-07-01 06:30:00', '2014-07-01 06:45:00',
               '2014-07-01 07:00:00', '2014-07-01 07:15:00',
               '2014-07-01 07:30:00', '2014-07-01 07:45:00',
               '2014-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-7-1T00 to 2014-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               ...
               '2014-08-15 05:45:00', '2014-08-15 06:00:00',
               '2014-08-15 06:15:00', '2014-08-15 06:30:00',
               '2014-08-15 06:45:00', '2014-08-15 07:00:00',
               '2014-08-15 07:15:00', '2014-08-15 07:30:00',
               '2014-08-15 07:45:00', '2014-08-15 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-8-1T00 to 2014-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00', '2014-08-19 17:45:00',
               '2014-08-19 18:00:00', '2014-08-19 18:15:00',
               '2014-08-19 18:30:00', '2014-08-19 18:45:00',
               '2014-08-19 19:00:00', '2014-08-19 19:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-08-01 00:00:00', '2014-08-01 00:15:00',
               '2014-08-01 00:30:00', '2014-08-01 00:45:00',
               '2014-08-01 01:00:00', '2014-08-01 01:15:00',
               '2014-08-01 01:30:00', '2014-08-01 01:45:00',
               '2014-08-01 02:00:00', '2014-08-01 02:15:00',
               '2014-08-01 02:30:00', '2014-08-01 02:45:00',
               '2014-08-01 03:00:00', '2014-08-01 03:15:00',
               '2014-08-01 03:30:00', '2014-08-01 03:45:00',
               '2014-08-01 04:00:00', '2014-08-01 04:15:00',
               '2014-08-01 04:30:00', '2014-08-01 04:45:00',
               '2014-08-01 05:00:00', '2014-08-01 05:15:00',
               '2014-08-01 05:30:00', '2014-08-01 05:45:00',
               '2014-08-01 06:00:00', '2014-08-01 06:15:00',
               '2014-08-01 06:30:00', '2014-08-01 06:45:00',
               '2014-08-01 07:00:00', '2014-08-01 07:15:00',
               '2014-08-01 07:30:00', '2014-08-01 07:45:00',
               '2014-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-8-1T00 to 2014-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00', '2014-09-23 20:00:00',
               '2014-09-23 20:15:00', '2014-09-23 20:30:00',
               '2014-09-23 20:45:00', '2014-09-23 21:00:00',
               '2014-09-23 21:15:00', '2014-09-23 21:30:00',
               '2014-09-29 20:00:00', '2014-09-29 20:15:00',
               '2014-09-29 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               ...
               '2014-09-13 05:45:00', '2014-09-13 06:00:00',
               '2014-09-13 06:15:00', '2014-09-13 06:30:00',
               '2014-09-13 06:45:00', '2014-09-13 07:00:00',
               '2014-09-13 07:15:00', '2014-09-13 07:30:00',
               '2014-09-13 07:45:00', '2014-09-13 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-9-1T00 to 2014-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00', '2014-09-24 20:00:00',
               '2014-09-24 20:15:00', '2014-09-24 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-09-01 00:00:00', '2014-09-01 00:15:00',
               '2014-09-01 00:30:00', '2014-09-01 00:45:00',
               '2014-09-01 01:00:00', '2014-09-01 01:15:00',
               '2014-09-01 01:30:00', '2014-09-01 01:45:00',
               '2014-09-01 02:00:00', '2014-09-01 02:15:00',
               '2014-09-01 02:30:00', '2014-09-01 02:45:00',
               '2014-09-01 03:00:00', '2014-09-01 03:15:00',
               '2014-09-01 03:30:00', '2014-09-01 03:45:00',
               '2014-09-01 04:00:00', '2014-09-01 04:15:00',
               '2014-09-01 04:30:00', '2014-09-01 04:45:00',
               '2014-09-01 05:00:00', '2014-09-01 05:15:00',
               '2014-09-01 05:30:00', '2014-09-01 05:45:00',
               '2014-09-01 06:00:00', '2014-09-01 06:15:00',
               '2014-09-01 06:30:00', '2014-09-01 06:45:00',
               '2014-09-01 07:00:00', '2014-09-01 07:15:00',
               '2014-09-01 07:30:00', '2014-09-01 07:45:00',
               '2014-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-9-1T00 to 2014-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=497, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=442, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-23 19:30:00', '2014-10-23 19:45:00',
               '2014-10-23 20:00:00', '2014-10-23 20:15:00',
               '2014-10-23 20:30:00', '2014-10-23 20:45:00',
               '2014-10-23 21:00:00', '2014-10-23 21:15:00',
               '2014-10-23 21:30:00', '2014-10-23 21:45:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=594, freq=None).
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-22 08:00:00', '2014-10-22 08:15:00',
               '2014-10-22 08:30:00', '2014-10-22 08:45:00',
               '2014-10-22 09:00:00', '2014-10-22 09:15:00',
               '2014-10-22 09:30:00', '2014-10-22 09:45:00',
               '2014-10-22 10:00:00', '2014-10-22 10:15:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=925, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-20 05:45:00', '2014-10-20 06:00:00',
               '2014-10-20 06:15:00', '2014-10-20 06:30:00',
               '2014-10-20 06:45:00', '2014-10-20 07:00:00',
               '2014-10-20 07:15:00', '2014-10-20 07:30:00',
               '2014-10-20 07:45:00', '2014-10-20 08:00:00'],
              dtype='datetime64[ns]', length=229, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-12 05:45:00', '2014-10-12 06:00:00',
               '2014-10-12 06:15:00', '2014-10-12 06:30:00',
               '2014-10-12 06:45:00', '2014-10-12 07:00:00',
               '2014-10-12 07:15:00', '2014-10-12 07:30:00',
               '2014-10-12 07:45:00', '2014-10-12 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-10 20:00:00', '2014-10-10 20:15:00',
               '2014-10-10 20:30:00', '2014-10-10 20:45:00',
               '2014-10-10 21:00:00', '2014-10-10 21:15:00',
               '2014-10-10 21:30:00', '2014-10-10 21:45:00',
               '2014-10-10 22:00:00', '2014-10-10 22:15:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2029, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-10 08:00:00', '2014-10-10 08:15:00',
               '2014-10-10 08:30:00', '2014-10-10 08:45:00',
               '2014-10-10 09:00:00', '2014-10-10 09:15:00',
               '2014-10-10 09:30:00', '2014-10-10 09:45:00',
               '2014-10-10 10:00:00', '2014-10-10 10:15:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2077, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-23 17:30:00', '2014-10-23 17:45:00',
               '2014-10-23 18:00:00', '2014-10-23 18:15:00',
               '2014-10-23 18:30:00', '2014-10-23 18:45:00',
               '2014-10-23 19:00:00', '2014-10-23 19:15:00',
               '2014-10-23 19:30:00', '2014-10-23 19:45:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=791, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-20 08:00:00', '2014-10-20 08:15:00',
               '2014-10-20 08:30:00', '2014-10-20 08:45:00',
               '2014-10-20 09:00:00', '2014-10-20 09:15:00',
               '2014-10-20 09:30:00', '2014-10-20 09:45:00',
               '2014-10-20 10:00:00', '2014-10-20 10:15:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1117, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-10-1T00 to 2014-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-22 08:00:00', '2014-10-22 08:15:00',
               '2014-10-22 08:30:00', '2014-10-22 08:45:00',
               '2014-10-22 09:00:00', '2014-10-22 09:15:00',
               '2014-10-22 09:30:00', '2014-10-22 09:45:00',
               '2014-10-22 10:00:00', '2014-10-22 10:15:00',
               ...
               '2014-10-31 20:45:00', '2014-10-31 21:00:00',
               '2014-10-31 21:15:00', '2014-10-31 21:30:00',
               '2014-10-31 21:45:00', '2014-10-31 22:00:00',
               '2014-10-31 22:15:00', '2014-10-31 22:30:00',
               '2014-10-31 22:45:00', '2014-10-31 23:00:00'],
              dtype='datetime64[ns]', length=925, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-11 05:30:00', '2014-10-11 05:45:00',
               '2014-10-11 06:00:00', '2014-10-11 06:15:00',
               '2014-10-11 06:30:00', '2014-10-11 06:45:00',
               '2014-10-11 07:00:00', '2014-10-11 07:15:00',
               '2014-10-11 07:30:00', '2014-10-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-11 05:30:00', '2014-10-11 05:45:00',
               '2014-10-11 06:00:00', '2014-10-11 06:15:00',
               '2014-10-11 06:30:00', '2014-10-11 06:45:00',
               '2014-10-11 07:00:00', '2014-10-11 07:15:00',
               '2014-10-11 07:30:00', '2014-10-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-11 05:30:00', '2014-10-11 05:45:00',
               '2014-10-11 06:00:00', '2014-10-11 06:15:00',
               '2014-10-11 06:30:00', '2014-10-11 06:45:00',
               '2014-10-11 07:00:00', '2014-10-11 07:15:00',
               '2014-10-11 07:30:00', '2014-10-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               '2014-10-01 02:30:00', '2014-10-01 02:45:00',
               '2014-10-01 03:00:00', '2014-10-01 03:15:00',
               '2014-10-01 03:30:00', '2014-10-01 03:45:00',
               '2014-10-01 04:00:00', '2014-10-01 04:15:00',
               '2014-10-01 04:30:00', '2014-10-01 04:45:00',
               '2014-10-01 05:00:00', '2014-10-01 05:15:00',
               '2014-10-01 05:30:00', '2014-10-01 05:45:00',
               '2014-10-01 06:00:00', '2014-10-01 06:15:00',
               '2014-10-01 06:30:00', '2014-10-01 06:45:00',
               '2014-10-01 07:00:00', '2014-10-01 07:15:00',
               '2014-10-01 07:30:00', '2014-10-01 07:45:00',
               '2014-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-23 05:45:00', '2014-10-23 06:00:00',
               '2014-10-23 06:15:00', '2014-10-23 06:30:00',
               '2014-10-23 06:45:00', '2014-10-23 07:00:00',
               '2014-10-23 07:15:00', '2014-10-23 07:30:00',
               '2014-10-23 07:45:00', '2014-10-23 08:00:00'],
              dtype='datetime64[ns]', length=621, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-10-1T00 to 2014-10-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-10-01 00:00:00', '2014-10-01 00:15:00',
               '2014-10-01 00:30:00', '2014-10-01 00:45:00',
               '2014-10-01 01:00:00', '2014-10-01 01:15:00',
               '2014-10-01 01:30:00', '2014-10-01 01:45:00',
               '2014-10-01 02:00:00', '2014-10-01 02:15:00',
               ...
               '2014-10-11 05:30:00', '2014-10-11 05:45:00',
               '2014-10-11 06:00:00', '2014-10-11 06:15:00',
               '2014-10-11 06:30:00', '2014-10-11 06:45:00',
               '2014-10-11 07:00:00', '2014-10-11 07:15:00',
               '2014-10-11 07:30:00', '2014-10-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               ...
               '2014-11-11 06:30:00', '2014-11-11 06:45:00',
               '2014-11-11 07:00:00', '2014-11-11 07:15:00',
               '2014-11-11 07:30:00', '2014-11-11 07:45:00',
               '2014-11-11 08:00:00', '2014-11-11 08:15:00',
               '2014-11-11 08:30:00', '2014-11-11 08:45:00'],
              dtype='datetime64[ns]', length=996, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-18 08:45:00', '2014-11-18 09:00:00',
               '2014-11-18 09:15:00', '2014-11-18 09:30:00',
               '2014-11-18 09:45:00', '2014-11-18 10:00:00',
               '2014-11-18 10:15:00', '2014-11-18 10:30:00',
               '2014-11-18 10:45:00', '2014-11-18 11:00:00',
               ...
               '2014-11-30 20:45:00', '2014-11-30 21:00:00',
               '2014-11-30 21:15:00', '2014-11-30 21:30:00',
               '2014-11-30 21:45:00', '2014-11-30 22:00:00',
               '2014-11-30 22:15:00', '2014-11-30 22:30:00',
               '2014-11-30 22:45:00', '2014-11-30 23:00:00'],
              dtype='datetime64[ns]', length=636, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               ...
               '2014-11-30 20:45:00', '2014-11-30 21:00:00',
               '2014-11-30 21:15:00', '2014-11-30 21:30:00',
               '2014-11-30 21:45:00', '2014-11-30 22:00:00',
               '2014-11-30 22:15:00', '2014-11-30 22:30:00',
               '2014-11-30 22:45:00', '2014-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1520, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               ...
               '2014-11-25 06:45:00', '2014-11-25 07:00:00',
               '2014-11-25 07:15:00', '2014-11-25 07:30:00',
               '2014-11-25 07:45:00', '2014-11-25 08:00:00',
               '2014-11-25 08:15:00', '2014-11-25 08:30:00',
               '2014-11-25 08:45:00', '2014-11-25 09:00:00'],
              dtype='datetime64[ns]', length=805, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               ...
               '2014-11-25 06:45:00', '2014-11-25 07:00:00',
               '2014-11-25 07:15:00', '2014-11-25 07:30:00',
               '2014-11-25 07:45:00', '2014-11-25 08:00:00',
               '2014-11-25 08:15:00', '2014-11-25 08:30:00',
               '2014-11-25 08:45:00', '2014-11-25 09:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-11-1T00 to 2014-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00', '2014-11-26 21:45:00',
               '2014-11-26 22:00:00', '2014-11-26 22:15:00',
               '2014-11-26 22:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-11-1T00 to 2014-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-11-01 00:00:00', '2014-11-01 00:15:00',
               '2014-11-01 00:30:00', '2014-11-01 00:45:00',
               '2014-11-01 01:00:00', '2014-11-01 01:15:00',
               '2014-11-01 01:30:00', '2014-11-01 01:45:00',
               '2014-11-01 02:00:00', '2014-11-01 02:15:00',
               '2014-11-01 02:30:00', '2014-11-01 02:45:00',
               '2014-11-01 03:00:00', '2014-11-01 03:15:00',
               '2014-11-01 03:30:00', '2014-11-01 03:45:00',
               '2014-11-01 04:00:00', '2014-11-01 04:15:00',
               '2014-11-01 04:30:00', '2014-11-01 04:45:00',
               '2014-11-01 05:00:00', '2014-11-01 05:15:00',
               '2014-11-01 05:30:00', '2014-11-01 05:45:00',
               '2014-11-01 06:00:00', '2014-11-01 06:15:00',
               '2014-11-01 06:30:00', '2014-11-01 06:45:00',
               '2014-11-01 07:00:00', '2014-11-01 07:15:00',
               '2014-11-01 07:30:00', '2014-11-01 07:45:00',
               '2014-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               ...
               '2014-12-05 09:45:00', '2014-12-05 10:00:00',
               '2014-12-05 10:15:00', '2014-12-05 10:30:00',
               '2014-12-05 10:45:00', '2014-12-05 11:00:00',
               '2014-12-05 11:15:00', '2014-12-05 11:30:00',
               '2014-12-05 11:45:00', '2014-12-05 12:00:00'],
              dtype='datetime64[ns]', length=433, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               ...
               '2014-12-25 06:45:00', '2014-12-25 07:00:00',
               '2014-12-25 07:15:00', '2014-12-25 07:30:00',
               '2014-12-25 07:45:00', '2014-12-25 08:00:00',
               '2014-12-25 08:15:00', '2014-12-25 08:30:00',
               '2014-12-25 08:45:00', '2014-12-25 09:00:00'],
              dtype='datetime64[ns]', length=809, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               ...
               '2014-12-22 06:45:00', '2014-12-22 07:00:00',
               '2014-12-22 07:15:00', '2014-12-22 07:30:00',
               '2014-12-22 07:45:00', '2014-12-22 08:00:00',
               '2014-12-22 08:15:00', '2014-12-22 08:30:00',
               '2014-12-22 08:45:00', '2014-12-22 09:00:00'],
              dtype='datetime64[ns]', length=423, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2014-12-1T00 to 2014-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2014-12-23 09:00:00', '2014-12-23 09:15:00',
               '2014-12-23 09:30:00', '2014-12-23 09:45:00',
               '2014-12-23 10:00:00', '2014-12-23 10:15:00',
               '2014-12-23 10:30:00', '2014-12-23 10:45:00',
               '2014-12-23 11:00:00', '2014-12-23 11:15:00',
               ...
               '2014-12-31 20:45:00', '2014-12-31 21:00:00',
               '2014-12-31 21:15:00', '2014-12-31 21:30:00',
               '2014-12-31 21:45:00', '2014-12-31 22:00:00',
               '2014-12-31 22:15:00', '2014-12-31 22:30:00',
               '2014-12-31 22:45:00', '2014-12-31 23:00:00'],
              dtype='datetime64[ns]', length=825, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00', '2014-12-19 05:30:00',
               '2014-12-19 05:45:00', '2014-12-19 06:00:00',
               '2014-12-19 06:15:00', '2014-12-19 06:30:00',
               '2014-12-19 06:45:00', '2014-12-19 07:00:00',
               '2014-12-19 07:15:00', '2014-12-19 07:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2014-12-1T00 to 2014-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2014-12-01 00:00:00', '2014-12-01 00:15:00',
               '2014-12-01 00:30:00', '2014-12-01 00:45:00',
               '2014-12-01 01:00:00', '2014-12-01 01:15:00',
               '2014-12-01 01:30:00', '2014-12-01 01:45:00',
               '2014-12-01 02:00:00', '2014-12-01 02:15:00',
               '2014-12-01 02:30:00', '2014-12-01 02:45:00',
               '2014-12-01 03:00:00', '2014-12-01 03:15:00',
               '2014-12-01 03:30:00', '2014-12-01 03:45:00',
               '2014-12-01 04:00:00', '2014-12-01 04:15:00',
               '2014-12-01 04:30:00', '2014-12-01 04:45:00',
               '2014-12-01 05:00:00', '2014-12-01 05:15:00',
               '2014-12-01 05:30:00', '2014-12-01 05:45:00',
               '2014-12-01 06:00:00', '2014-12-01 06:15:00',
               '2014-12-01 06:30:00', '2014-12-01 06:45:00',
               '2014-12-01 07:00:00', '2014-12-01 07:15:00',
               '2014-12-01 07:30:00', '2014-12-01 07:45:00',
               '2014-12-01 08:00:00', '2014-12-01 08:15:00',
               '2014-12-01 08:30:00', '2014-12-01 08:45:00',
               '2014-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2015

year = 2015
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               ...
               '2015-01-07 08:15:00', '2015-01-07 08:30:00',
               '2015-01-07 08:45:00', '2015-01-07 09:00:00',
               '2015-01-07 09:15:00', '2015-01-07 09:30:00',
               '2015-01-07 09:45:00', '2015-01-07 10:00:00',
               '2015-01-07 10:15:00', '2015-01-07 10:30:00'],
              dtype='datetime64[ns]', length=385, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-01-22 09:00:00', '2015-01-22 09:15:00',
               '2015-01-22 09:30:00', '2015-01-22 09:45:00',
               '2015-01-22 10:00:00', '2015-01-22 10:15:00',
               '2015-01-22 10:30:00', '2015-01-22 10:45:00',
               '2015-01-22 11:00:00', '2015-01-22 11:15:00',
               ...
               '2015-01-31 20:45:00', '2015-01-31 21:00:00',
               '2015-01-31 21:15:00', '2015-01-31 21:30:00',
               '2015-01-31 21:45:00', '2015-01-31 22:00:00',
               '2015-01-31 22:15:00', '2015-01-31 22:30:00',
               '2015-01-31 22:45:00', '2015-01-31 23:00:00'],
              dtype='datetime64[ns]', length=921, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               ...
               '2015-01-10 06:45:00', '2015-01-10 07:00:00',
               '2015-01-10 07:15:00', '2015-01-10 07:30:00',
               '2015-01-10 07:45:00', '2015-01-10 08:00:00',
               '2015-01-10 08:15:00', '2015-01-10 08:30:00',
               '2015-01-10 08:45:00', '2015-01-10 09:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-01-19 09:00:00', '2015-01-19 09:15:00',
               '2015-01-19 09:30:00', '2015-01-19 09:45:00',
               '2015-01-19 10:00:00', '2015-01-19 10:15:00',
               '2015-01-19 10:30:00', '2015-01-19 10:45:00',
               '2015-01-19 11:00:00', '2015-01-19 11:15:00',
               ...
               '2015-01-31 20:45:00', '2015-01-31 21:00:00',
               '2015-01-31 21:15:00', '2015-01-31 21:30:00',
               '2015-01-31 21:45:00', '2015-01-31 22:00:00',
               '2015-01-31 22:15:00', '2015-01-31 22:30:00',
               '2015-01-31 22:45:00', '2015-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1209, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               ...
               '2015-01-09 06:45:00', '2015-01-09 07:00:00',
               '2015-01-09 07:15:00', '2015-01-09 07:30:00',
               '2015-01-09 07:45:00', '2015-01-09 08:00:00',
               '2015-01-09 08:15:00', '2015-01-09 08:30:00',
               '2015-01-09 08:45:00', '2015-01-09 09:00:00'],
              dtype='datetime64[ns]', length=519, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-01-02 09:00:00', '2015-01-02 09:15:00',
               '2015-01-02 09:30:00', '2015-01-02 09:45:00',
               '2015-01-02 10:00:00', '2015-01-02 10:15:00',
               '2015-01-02 10:30:00', '2015-01-02 10:45:00',
               '2015-01-02 11:00:00', '2015-01-02 11:15:00',
               ...
               '2015-01-31 20:45:00', '2015-01-31 21:00:00',
               '2015-01-31 21:15:00', '2015-01-31 21:30:00',
               '2015-01-31 21:45:00', '2015-01-31 22:00:00',
               '2015-01-31 22:15:00', '2015-01-31 22:30:00',
               '2015-01-31 22:45:00', '2015-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2169, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-01-20 09:00:00', '2015-01-20 09:15:00',
               '2015-01-20 09:30:00', '2015-01-20 09:45:00',
               '2015-01-20 10:00:00', '2015-01-20 10:15:00',
               '2015-01-20 10:30:00', '2015-01-20 10:45:00',
               '2015-01-20 11:00:00', '2015-01-20 11:15:00',
               ...
               '2015-01-31 20:45:00', '2015-01-31 21:00:00',
               '2015-01-31 21:15:00', '2015-01-31 21:30:00',
               '2015-01-31 21:45:00', '2015-01-31 22:00:00',
               '2015-01-31 22:15:00', '2015-01-31 22:30:00',
               '2015-01-31 22:45:00', '2015-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1113, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               ...
               '2015-01-10 06:45:00', '2015-01-10 07:00:00',
               '2015-01-10 07:15:00', '2015-01-10 07:30:00',
               '2015-01-10 07:45:00', '2015-01-10 08:00:00',
               '2015-01-10 08:15:00', '2015-01-10 08:30:00',
               '2015-01-10 08:45:00', '2015-01-10 09:00:00'],
              dtype='datetime64[ns]', length=711, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-1-1T00 to 2015-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-01-06 09:00:00', '2015-01-06 09:15:00',
               '2015-01-06 09:30:00', '2015-01-06 09:45:00',
               '2015-01-06 10:00:00', '2015-01-06 10:15:00',
               '2015-01-06 10:30:00', '2015-01-06 10:45:00',
               '2015-01-06 11:00:00', '2015-01-06 11:15:00',
               ...
               '2015-01-31 20:45:00', '2015-01-31 21:00:00',
               '2015-01-31 21:15:00', '2015-01-31 21:30:00',
               '2015-01-31 21:45:00', '2015-01-31 22:00:00',
               '2015-01-31 22:15:00', '2015-01-31 22:30:00',
               '2015-01-31 22:45:00', '2015-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2457, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               ...
               '2015-01-04 06:45:00', '2015-01-04 07:00:00',
               '2015-01-04 07:15:00', '2015-01-04 07:30:00',
               '2015-01-04 07:45:00', '2015-01-04 08:00:00',
               '2015-01-04 08:15:00', '2015-01-04 08:30:00',
               '2015-01-04 08:45:00', '2015-01-04 09:00:00'],
              dtype='datetime64[ns]', length=325, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-1-1T00 to 2015-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-01-01 00:00:00', '2015-01-01 00:15:00',
               '2015-01-01 00:30:00', '2015-01-01 00:45:00',
               '2015-01-01 01:00:00', '2015-01-01 01:15:00',
               '2015-01-01 01:30:00', '2015-01-01 01:45:00',
               '2015-01-01 02:00:00', '2015-01-01 02:15:00',
               '2015-01-01 02:30:00', '2015-01-01 02:45:00',
               '2015-01-01 03:00:00', '2015-01-01 03:15:00',
               '2015-01-01 03:30:00', '2015-01-01 03:45:00',
               '2015-01-01 04:00:00', '2015-01-01 04:15:00',
               '2015-01-01 04:30:00', '2015-01-01 04:45:00',
               '2015-01-01 05:00:00', '2015-01-01 05:15:00',
               '2015-01-01 05:30:00', '2015-01-01 05:45:00',
               '2015-01-01 06:00:00', '2015-01-01 06:15:00',
               '2015-01-01 06:30:00', '2015-01-01 06:45:00',
               '2015-01-01 07:00:00', '2015-01-01 07:15:00',
               '2015-01-01 07:30:00', '2015-01-01 07:45:00',
               '2015-01-01 08:00:00', '2015-01-01 08:15:00',
               '2015-01-01 08:30:00', '2015-01-01 08:45:00',
               '2015-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.17, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               ...
               '2015-02-28 20:45:00', '2015-02-28 21:00:00',
               '2015-02-28 21:15:00', '2015-02-28 21:30:00',
               '2015-02-28 21:45:00', '2015-02-28 22:00:00',
               '2015-02-28 22:15:00', '2015-02-28 22:30:00',
               '2015-02-28 22:45:00', '2015-02-28 23:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               ...
               '2015-02-08 06:45:00', '2015-02-08 07:00:00',
               '2015-02-08 07:15:00', '2015-02-08 07:30:00',
               '2015-02-08 07:45:00', '2015-02-08 08:00:00',
               '2015-02-08 08:15:00', '2015-02-08 08:30:00',
               '2015-02-08 08:45:00', '2015-02-08 09:00:00'],
              dtype='datetime64[ns]', length=709, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               ...
               '2015-02-17 06:30:00', '2015-02-17 06:45:00',
               '2015-02-17 07:00:00', '2015-02-17 07:15:00',
               '2015-02-17 07:30:00', '2015-02-17 07:45:00',
               '2015-02-17 08:00:00', '2015-02-17 08:15:00',
               '2015-02-17 08:30:00', '2015-02-17 08:45:00'],
              dtype='datetime64[ns]', length=1572, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-18 08:45:00', '2015-02-18 09:00:00',
               '2015-02-18 09:15:00', '2015-02-18 09:30:00',
               '2015-02-18 09:45:00', '2015-02-18 10:00:00',
               '2015-02-18 10:15:00', '2015-02-18 10:30:00',
               '2015-02-18 10:45:00', '2015-02-18 11:00:00',
               ...
               '2015-02-28 06:45:00', '2015-02-28 07:00:00',
               '2015-02-28 07:15:00', '2015-02-28 07:30:00',
               '2015-02-28 07:45:00', '2015-02-28 08:00:00',
               '2015-02-28 08:15:00', '2015-02-28 08:30:00',
               '2015-02-28 08:45:00', '2015-02-28 09:00:00'],
              dtype='datetime64[ns]', length=676, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               ...
               '2015-02-18 06:30:00', '2015-02-18 06:45:00',
               '2015-02-18 07:00:00', '2015-02-18 07:15:00',
               '2015-02-18 07:30:00', '2015-02-18 07:45:00',
               '2015-02-18 08:00:00', '2015-02-18 08:15:00',
               '2015-02-18 08:30:00', '2015-02-18 08:45:00'],
              dtype='datetime64[ns]', length=1668, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-2-1T00 to 2015-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-2-1T00 to 2015-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-02-01 00:00:00', '2015-02-01 00:15:00',
               '2015-02-01 00:30:00', '2015-02-01 00:45:00',
               '2015-02-01 01:00:00', '2015-02-01 01:15:00',
               '2015-02-01 01:30:00', '2015-02-01 01:45:00',
               '2015-02-01 02:00:00', '2015-02-01 02:15:00',
               '2015-02-01 02:30:00', '2015-02-01 02:45:00',
               '2015-02-01 03:00:00', '2015-02-01 03:15:00',
               '2015-02-01 03:30:00', '2015-02-01 03:45:00',
               '2015-02-01 04:00:00', '2015-02-01 04:15:00',
               '2015-02-01 04:30:00', '2015-02-01 04:45:00',
               '2015-02-01 05:00:00', '2015-02-01 05:15:00',
               '2015-02-01 05:30:00', '2015-02-01 05:45:00',
               '2015-02-01 06:00:00', '2015-02-01 06:15:00',
               '2015-02-01 06:30:00', '2015-02-01 06:45:00',
               '2015-02-01 07:00:00', '2015-02-01 07:15:00',
               '2015-02-01 07:30:00', '2015-02-01 07:45:00',
               '2015-02-01 08:00:00', '2015-02-01 08:15:00',
               '2015-02-01 08:30:00', '2015-02-01 08:45:00',
               '2015-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               ...
               '2015-03-24 05:30:00', '2015-03-24 05:45:00',
               '2015-03-24 06:00:00', '2015-03-24 06:15:00',
               '2015-03-24 06:30:00', '2015-03-24 06:45:00',
               '2015-03-24 07:00:00', '2015-03-24 07:15:00',
               '2015-03-24 07:30:00', '2015-03-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               ...
               '2015-03-15 18:30:00', '2015-03-15 18:45:00',
               '2015-03-15 19:00:00', '2015-03-15 19:15:00',
               '2015-03-15 19:30:00', '2015-03-15 19:45:00',
               '2015-03-15 20:00:00', '2015-03-15 20:15:00',
               '2015-03-15 20:30:00', '2015-03-15 20:45:00'],
              dtype='datetime64[ns]', length=1428, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00', '2015-03-19 08:00:00',
               '2015-03-19 08:15:00', '2015-03-19 08:30:00',
               '2015-03-19 08:45:00', '2015-03-19 09:00:00',
               '2015-03-19 09:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-03-08 09:00:00', '2015-03-08 09:15:00',
               '2015-03-08 09:30:00', '2015-03-08 09:45:00',
               '2015-03-08 10:00:00', '2015-03-08 10:15:00',
               '2015-03-08 10:30:00', '2015-03-08 10:45:00',
               '2015-03-08 11:00:00', '2015-03-08 11:15:00',
               ...
               '2015-03-24 05:30:00', '2015-03-24 05:45:00',
               '2015-03-24 06:00:00', '2015-03-24 06:15:00',
               '2015-03-24 06:30:00', '2015-03-24 06:45:00',
               '2015-03-24 07:00:00', '2015-03-24 07:15:00',
               '2015-03-24 07:30:00', '2015-03-24 07:45:00'],
              dtype='datetime64[ns]', length=1532, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-03-09 08:00:00', '2015-03-09 08:15:00',
               '2015-03-09 08:30:00', '2015-03-09 08:45:00',
               '2015-03-09 09:00:00', '2015-03-09 09:15:00',
               '2015-03-09 09:30:00', '2015-03-09 09:45:00',
               '2015-03-09 10:00:00', '2015-03-09 10:15:00',
               ...
               '2015-03-20 05:30:00', '2015-03-20 05:45:00',
               '2015-03-20 06:00:00', '2015-03-20 06:15:00',
               '2015-03-20 06:30:00', '2015-03-20 06:45:00',
               '2015-03-20 07:00:00', '2015-03-20 07:15:00',
               '2015-03-20 07:30:00', '2015-03-20 07:45:00'],
              dtype='datetime64[ns]', length=1056, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               ...
               '2015-03-28 05:30:00', '2015-03-28 05:45:00',
               '2015-03-28 06:00:00', '2015-03-28 06:15:00',
               '2015-03-28 06:30:00', '2015-03-28 06:45:00',
               '2015-03-28 07:00:00', '2015-03-28 07:15:00',
               '2015-03-28 07:30:00', '2015-03-28 07:45:00'],
              dtype='datetime64[ns]', length=2624, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-3-1T00 to 2015-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               ...
               '2015-03-31 20:45:00', '2015-03-31 21:00:00',
               '2015-03-31 21:15:00', '2015-03-31 21:30:00',
               '2015-03-31 21:45:00', '2015-03-31 22:00:00',
               '2015-03-31 22:15:00', '2015-03-31 22:30:00',
               '2015-03-31 22:45:00', '2015-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2493, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00', '2015-03-19 08:00:00',
               '2015-03-19 08:15:00', '2015-03-19 08:30:00',
               '2015-03-19 08:45:00', '2015-03-19 09:00:00',
               '2015-03-19 09:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-3-1T00 to 2015-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-03-01 00:00:00', '2015-03-01 00:15:00',
               '2015-03-01 00:30:00', '2015-03-01 00:45:00',
               '2015-03-01 01:00:00', '2015-03-01 01:15:00',
               '2015-03-01 01:30:00', '2015-03-01 01:45:00',
               '2015-03-01 02:00:00', '2015-03-01 02:15:00',
               '2015-03-01 02:30:00', '2015-03-01 02:45:00',
               '2015-03-01 03:00:00', '2015-03-01 03:15:00',
               '2015-03-01 03:30:00', '2015-03-01 03:45:00',
               '2015-03-01 04:00:00', '2015-03-01 04:15:00',
               '2015-03-01 04:30:00', '2015-03-01 04:45:00',
               '2015-03-01 05:00:00', '2015-03-01 05:15:00',
               '2015-03-01 05:30:00', '2015-03-01 05:45:00',
               '2015-03-01 06:00:00', '2015-03-01 06:15:00',
               '2015-03-01 06:30:00', '2015-03-01 06:45:00',
               '2015-03-01 07:00:00', '2015-03-01 07:15:00',
               '2015-03-01 07:30:00', '2015-03-01 07:45:00',
               '2015-03-01 08:00:00', '2015-03-01 08:15:00',
               '2015-03-01 08:30:00', '2015-03-01 08:45:00',
               '2015-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               ...
               '2015-04-21 05:45:00', '2015-04-21 06:00:00',
               '2015-04-21 06:15:00', '2015-04-21 06:30:00',
               '2015-04-21 06:45:00', '2015-04-21 07:00:00',
               '2015-04-21 07:15:00', '2015-04-21 07:30:00',
               '2015-04-21 07:45:00', '2015-04-21 08:00:00'],
              dtype='datetime64[ns]', length=613, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00', '2015-04-07 02:15:00',
               '2015-04-07 02:30:00', '2015-04-07 02:45:00',
               '2015-04-07 03:00:00', '2015-04-07 05:30:00',
               '2015-04-07 05:45:00', '2015-04-07 06:00:00',
               '2015-04-07 06:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               ...
               '2015-04-22 06:45:00', '2015-04-22 07:00:00',
               '2015-04-22 07:15:00', '2015-04-22 07:30:00',
               '2015-04-22 07:45:00', '2015-04-22 08:00:00',
               '2015-04-30 02:30:00', '2015-04-30 02:45:00',
               '2015-04-30 03:00:00', '2015-04-30 03:15:00'],
              dtype='datetime64[ns]', length=423, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               ...
               '2015-04-23 17:30:00', '2015-04-23 17:45:00',
               '2015-04-23 18:00:00', '2015-04-23 18:15:00',
               '2015-04-23 18:30:00', '2015-04-23 18:45:00',
               '2015-04-23 19:00:00', '2015-04-23 19:15:00',
               '2015-04-23 19:30:00', '2015-04-23 19:45:00'],
              dtype='datetime64[ns]', length=2192, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               ...
               '2015-04-24 05:30:00', '2015-04-24 05:45:00',
               '2015-04-24 06:00:00', '2015-04-24 06:15:00',
               '2015-04-24 06:30:00', '2015-04-24 06:45:00',
               '2015-04-24 07:00:00', '2015-04-24 07:15:00',
               '2015-04-24 07:30:00', '2015-04-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               ...
               '2015-04-28 21:00:00', '2015-04-28 21:15:00',
               '2015-04-28 21:30:00', '2015-04-28 21:45:00',
               '2015-04-28 22:00:00', '2015-04-28 22:15:00',
               '2015-04-28 22:30:00', '2015-04-28 22:45:00',
               '2015-04-28 23:00:00', '2015-04-28 23:15:00'],
              dtype='datetime64[ns]', length=2686, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-4-1T00 to 2015-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               ...
               '2015-04-16 05:30:00', '2015-04-16 05:45:00',
               '2015-04-16 06:00:00', '2015-04-16 06:15:00',
               '2015-04-16 06:30:00', '2015-04-16 06:45:00',
               '2015-04-16 07:00:00', '2015-04-16 07:15:00',
               '2015-04-16 07:30:00', '2015-04-16 07:45:00'],
              dtype='datetime64[ns]', length=1472, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               ...
               '2015-04-27 05:30:00', '2015-04-27 05:45:00',
               '2015-04-27 06:00:00', '2015-04-27 06:15:00',
               '2015-04-27 06:30:00', '2015-04-27 06:45:00',
               '2015-04-27 07:00:00', '2015-04-27 07:15:00',
               '2015-04-27 07:30:00', '2015-04-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-4-1T00 to 2015-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-04-01 00:00:00', '2015-04-01 00:15:00',
               '2015-04-01 00:30:00', '2015-04-01 00:45:00',
               '2015-04-01 01:00:00', '2015-04-01 01:15:00',
               '2015-04-01 01:30:00', '2015-04-01 01:45:00',
               '2015-04-01 02:00:00', '2015-04-01 02:15:00',
               '2015-04-01 02:30:00', '2015-04-01 02:45:00',
               '2015-04-01 03:00:00', '2015-04-01 03:15:00',
               '2015-04-01 03:30:00', '2015-04-01 03:45:00',
               '2015-04-01 04:00:00', '2015-04-01 04:15:00',
               '2015-04-01 04:30:00', '2015-04-01 04:45:00',
               '2015-04-01 05:00:00', '2015-04-01 05:15:00',
               '2015-04-01 05:30:00', '2015-04-01 05:45:00',
               '2015-04-01 06:00:00', '2015-04-01 06:15:00',
               '2015-04-01 06:30:00', '2015-04-01 06:45:00',
               '2015-04-01 07:00:00', '2015-04-01 07:15:00',
               '2015-04-01 07:30:00', '2015-04-01 07:45:00',
               '2015-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               ...
               '2015-05-07 06:30:00', '2015-05-07 06:45:00',
               '2015-05-07 07:00:00', '2015-05-07 07:15:00',
               '2015-05-07 07:30:00', '2015-05-07 07:45:00',
               '2015-05-07 08:00:00', '2015-05-17 03:00:00',
               '2015-05-17 03:15:00', '2015-05-17 03:30:00'],
              dtype='datetime64[ns]', length=134, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00', '2015-05-12 20:45:00',
               '2015-05-12 21:00:00', '2015-05-12 21:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               ...
               '2015-05-20 07:00:00', '2015-05-20 07:15:00',
               '2015-05-20 07:30:00', '2015-05-20 07:45:00',
               '2015-05-20 08:00:00', '2015-05-28 17:00:00',
               '2015-05-28 17:15:00', '2015-05-28 17:30:00',
               '2015-05-28 17:45:00', '2015-05-28 18:00:00'],
              dtype='datetime64[ns]', length=232, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               ...
               '2015-05-10 05:30:00', '2015-05-10 05:45:00',
               '2015-05-10 06:00:00', '2015-05-10 06:15:00',
               '2015-05-10 06:30:00', '2015-05-10 06:45:00',
               '2015-05-10 07:00:00', '2015-05-10 07:15:00',
               '2015-05-10 07:30:00', '2015-05-10 07:45:00'],
              dtype='datetime64[ns]', length=896, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-5-1T00 to 2015-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               ...
               '2015-05-29 05:30:00', '2015-05-29 05:45:00',
               '2015-05-29 06:00:00', '2015-05-29 06:15:00',
               '2015-05-29 06:30:00', '2015-05-29 06:45:00',
               '2015-05-29 07:00:00', '2015-05-29 07:15:00',
               '2015-05-29 07:30:00', '2015-05-29 07:45:00'],
              dtype='datetime64[ns]', length=2720, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-5-1T00 to 2015-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-05-01 00:00:00', '2015-05-01 00:15:00',
               '2015-05-01 00:30:00', '2015-05-01 00:45:00',
               '2015-05-01 01:00:00', '2015-05-01 01:15:00',
               '2015-05-01 01:30:00', '2015-05-01 01:45:00',
               '2015-05-01 02:00:00', '2015-05-01 02:15:00',
               '2015-05-01 02:30:00', '2015-05-01 02:45:00',
               '2015-05-01 03:00:00', '2015-05-01 03:15:00',
               '2015-05-01 03:30:00', '2015-05-01 03:45:00',
               '2015-05-01 04:00:00', '2015-05-01 04:15:00',
               '2015-05-01 04:30:00', '2015-05-01 04:45:00',
               '2015-05-01 05:00:00', '2015-05-01 05:15:00',
               '2015-05-01 05:30:00', '2015-05-01 05:45:00',
               '2015-05-01 06:00:00', '2015-05-01 06:15:00',
               '2015-05-01 06:30:00', '2015-05-01 06:45:00',
               '2015-05-01 07:00:00', '2015-05-01 07:15:00',
               '2015-05-01 07:30:00', '2015-05-01 07:45:00',
               '2015-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               ...
               '2015-06-11 05:45:00', '2015-06-11 06:00:00',
               '2015-06-11 06:15:00', '2015-06-11 06:30:00',
               '2015-06-11 06:45:00', '2015-06-11 07:00:00',
               '2015-06-11 07:15:00', '2015-06-11 07:30:00',
               '2015-06-11 07:45:00', '2015-06-11 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-6-1T00 to 2015-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               ...
               '2015-06-11 05:30:00', '2015-06-11 05:45:00',
               '2015-06-11 06:00:00', '2015-06-11 06:15:00',
               '2015-06-11 06:30:00', '2015-06-11 06:45:00',
               '2015-06-11 07:00:00', '2015-06-11 07:15:00',
               '2015-06-11 07:30:00', '2015-06-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-25 23:30:00', '2015-06-25 23:45:00',
               '2015-06-26 00:00:00', '2015-06-26 00:15:00',
               '2015-06-26 00:30:00', '2015-06-26 00:45:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               ...
               '2015-06-11 05:30:00', '2015-06-11 05:45:00',
               '2015-06-11 06:00:00', '2015-06-11 06:15:00',
               '2015-06-11 06:30:00', '2015-06-11 06:45:00',
               '2015-06-11 07:00:00', '2015-06-11 07:15:00',
               '2015-06-11 07:30:00', '2015-06-11 07:45:00'],
              dtype='datetime64[ns]', length=992, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-25 23:30:00', '2015-06-25 23:45:00',
               '2015-06-26 00:00:00', '2015-06-26 00:15:00',
               '2015-06-26 00:30:00', '2015-06-26 00:45:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-6-1T00 to 2015-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-06-01 00:00:00', '2015-06-01 00:15:00',
               '2015-06-01 00:30:00', '2015-06-01 00:45:00',
               '2015-06-01 01:00:00', '2015-06-01 01:15:00',
               '2015-06-01 01:30:00', '2015-06-01 01:45:00',
               '2015-06-01 02:00:00', '2015-06-01 02:15:00',
               '2015-06-01 02:30:00', '2015-06-01 02:45:00',
               '2015-06-01 03:00:00', '2015-06-01 03:15:00',
               '2015-06-01 03:30:00', '2015-06-01 03:45:00',
               '2015-06-01 04:00:00', '2015-06-01 04:15:00',
               '2015-06-01 04:30:00', '2015-06-01 04:45:00',
               '2015-06-01 05:00:00', '2015-06-01 05:15:00',
               '2015-06-01 05:30:00', '2015-06-01 05:45:00',
               '2015-06-01 06:00:00', '2015-06-01 06:15:00',
               '2015-06-01 06:30:00', '2015-06-01 06:45:00',
               '2015-06-01 07:00:00', '2015-06-01 07:15:00',
               '2015-06-01 07:30:00', '2015-06-01 07:45:00',
               '2015-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-7-1T00 to 2015-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-7-1T00 to 2015-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-07-01 00:00:00', '2015-07-01 00:15:00',
               '2015-07-01 00:30:00', '2015-07-01 00:45:00',
               '2015-07-01 01:00:00', '2015-07-01 01:15:00',
               '2015-07-01 01:30:00', '2015-07-01 01:45:00',
               '2015-07-01 02:00:00', '2015-07-01 02:15:00',
               '2015-07-01 02:30:00', '2015-07-01 02:45:00',
               '2015-07-01 03:00:00', '2015-07-01 03:15:00',
               '2015-07-01 03:30:00', '2015-07-01 03:45:00',
               '2015-07-01 04:00:00', '2015-07-01 04:15:00',
               '2015-07-01 04:30:00', '2015-07-01 04:45:00',
               '2015-07-01 05:00:00', '2015-07-01 05:15:00',
               '2015-07-01 05:30:00', '2015-07-01 05:45:00',
               '2015-07-01 06:00:00', '2015-07-01 06:15:00',
               '2015-07-01 06:30:00', '2015-07-01 06:45:00',
               '2015-07-01 07:00:00', '2015-07-01 07:15:00',
               '2015-07-01 07:30:00', '2015-07-01 07:45:00',
               '2015-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00', '2015-08-14 20:30:00',
               '2015-08-14 20:45:00', '2015-08-14 21:00:00',
               '2015-08-14 21:15:00', '2015-08-14 21:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               ...
               '2015-08-31 20:45:00', '2015-08-31 21:00:00',
               '2015-08-31 21:15:00', '2015-08-31 21:30:00',
               '2015-08-31 21:45:00', '2015-08-31 22:00:00',
               '2015-08-31 22:15:00', '2015-08-31 22:30:00',
               '2015-08-31 22:45:00', '2015-08-31 23:00:00'],
              dtype='datetime64[ns]', length=479, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00', '2015-08-01 16:15:00',
               '2015-08-01 16:30:00', '2015-08-01 16:45:00',
               '2015-08-01 17:15:00', '2015-08-01 17:30:00',
               '2015-08-01 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-8-1T00 to 2015-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-8-1T00 to 2015-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-08-01 00:00:00', '2015-08-01 00:15:00',
               '2015-08-01 00:30:00', '2015-08-01 00:45:00',
               '2015-08-01 01:00:00', '2015-08-01 01:15:00',
               '2015-08-01 01:30:00', '2015-08-01 01:45:00',
               '2015-08-01 02:00:00', '2015-08-01 02:15:00',
               '2015-08-01 02:30:00', '2015-08-01 02:45:00',
               '2015-08-01 03:00:00', '2015-08-01 03:15:00',
               '2015-08-01 03:30:00', '2015-08-01 03:45:00',
               '2015-08-01 04:00:00', '2015-08-01 04:15:00',
               '2015-08-01 04:30:00', '2015-08-01 04:45:00',
               '2015-08-01 05:00:00', '2015-08-01 05:15:00',
               '2015-08-01 05:30:00', '2015-08-01 05:45:00',
               '2015-08-01 06:00:00', '2015-08-01 06:15:00',
               '2015-08-01 06:30:00', '2015-08-01 06:45:00',
               '2015-08-01 07:00:00', '2015-08-01 07:15:00',
               '2015-08-01 07:30:00', '2015-08-01 07:45:00',
               '2015-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00', '2015-09-29 12:30:00',
               '2015-09-29 12:45:00', '2015-09-29 13:00:00',
               '2015-09-29 20:00:00', '2015-09-29 20:15:00',
               '2015-09-29 20:30:00', '2015-09-30 01:00:00',
               '2015-09-30 01:15:00', '2015-09-30 01:30:00',
               '2015-09-30 01:45:00', '2015-09-30 02:00:00',
               '2015-09-30 05:00:00', '2015-09-30 05:15:00',
               '2015-09-30 05:30:00', '2015-09-30 07:30:00',
               '2015-09-30 07:45:00', '2015-09-30 08:00:00',
               '2015-09-30 11:30:00', '2015-09-30 11:45:00',
               '2015-09-30 12:00:00', '2015-09-30 20:00:00',
               '2015-09-30 20:15:00', '2015-09-30 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00', '2015-09-28 01:15:00',
               '2015-09-28 01:30:00', '2015-09-28 01:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               ...
               '2015-09-30 20:45:00', '2015-09-30 21:00:00',
               '2015-09-30 21:15:00', '2015-09-30 21:30:00',
               '2015-09-30 21:45:00', '2015-09-30 22:00:00',
               '2015-09-30 22:15:00', '2015-09-30 22:30:00',
               '2015-09-30 22:45:00', '2015-09-30 23:00:00'],
              dtype='datetime64[ns]', length=575, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-9-1T00 to 2015-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-9-1T00 to 2015-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-09-01 00:00:00', '2015-09-01 00:15:00',
               '2015-09-01 00:30:00', '2015-09-01 00:45:00',
               '2015-09-01 01:00:00', '2015-09-01 01:15:00',
               '2015-09-01 01:30:00', '2015-09-01 01:45:00',
               '2015-09-01 02:00:00', '2015-09-01 02:15:00',
               '2015-09-01 02:30:00', '2015-09-01 02:45:00',
               '2015-09-01 03:00:00', '2015-09-01 03:15:00',
               '2015-09-01 03:30:00', '2015-09-01 03:45:00',
               '2015-09-01 04:00:00', '2015-09-01 04:15:00',
               '2015-09-01 04:30:00', '2015-09-01 04:45:00',
               '2015-09-01 05:00:00', '2015-09-01 05:15:00',
               '2015-09-01 05:30:00', '2015-09-01 05:45:00',
               '2015-09-01 06:00:00', '2015-09-01 06:15:00',
               '2015-09-01 06:30:00', '2015-09-01 06:45:00',
               '2015-09-01 07:00:00', '2015-09-01 07:15:00',
               '2015-09-01 07:30:00', '2015-09-01 07:45:00',
               '2015-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00', '2015-10-03 18:30:00',
               '2015-10-03 18:45:00', '2015-10-03 19:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               ...
               '2015-10-31 05:45:00', '2015-10-31 06:00:00',
               '2015-10-31 06:15:00', '2015-10-31 06:30:00',
               '2015-10-31 06:45:00', '2015-10-31 07:00:00',
               '2015-10-31 07:15:00', '2015-10-31 07:30:00',
               '2015-10-31 07:45:00', '2015-10-31 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-10-1T00 to 2015-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-10-01 08:15:00', '2015-10-01 08:30:00',
               '2015-10-01 08:45:00', '2015-10-01 09:00:00',
               '2015-10-01 09:15:00', '2015-10-01 09:30:00',
               '2015-10-01 09:45:00', '2015-10-01 10:00:00',
               '2015-10-01 10:15:00', '2015-10-01 10:30:00',
               ...
               '2015-10-31 20:45:00', '2015-10-31 21:00:00',
               '2015-10-31 21:15:00', '2015-10-31 21:30:00',
               '2015-10-31 21:45:00', '2015-10-31 22:00:00',
               '2015-10-31 22:15:00', '2015-10-31 22:30:00',
               '2015-10-31 22:45:00', '2015-10-31 23:00:00'],
              dtype='datetime64[ns]', length=2940, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-10-1T00 to 2015-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-10-01 00:00:00', '2015-10-01 00:15:00',
               '2015-10-01 00:30:00', '2015-10-01 00:45:00',
               '2015-10-01 01:00:00', '2015-10-01 01:15:00',
               '2015-10-01 01:30:00', '2015-10-01 01:45:00',
               '2015-10-01 02:00:00', '2015-10-01 02:15:00',
               '2015-10-01 02:30:00', '2015-10-01 02:45:00',
               '2015-10-01 03:00:00', '2015-10-01 03:15:00',
               '2015-10-01 03:30:00', '2015-10-01 03:45:00',
               '2015-10-01 04:00:00', '2015-10-01 04:15:00',
               '2015-10-01 04:30:00', '2015-10-01 04:45:00',
               '2015-10-01 05:00:00', '2015-10-01 05:15:00',
               '2015-10-01 05:30:00', '2015-10-01 05:45:00',
               '2015-10-01 06:00:00', '2015-10-01 06:15:00',
               '2015-10-01 06:30:00', '2015-10-01 06:45:00',
               '2015-10-01 07:00:00', '2015-10-01 07:15:00',
               '2015-10-01 07:30:00', '2015-10-01 07:45:00',
               '2015-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.56, max INDEP value is 7.15
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-11 09:00:00', '2015-11-11 09:15:00',
               '2015-11-11 09:30:00', '2015-11-11 09:45:00',
               '2015-11-11 10:00:00', '2015-11-11 10:15:00',
               '2015-11-11 10:30:00', '2015-11-11 10:45:00',
               '2015-11-11 11:00:00', '2015-11-11 11:15:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1881, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               ...
               '2015-11-26 21:45:00', '2015-11-26 22:00:00',
               '2015-11-26 22:15:00', '2015-11-26 22:30:00',
               '2015-11-26 22:45:00', '2015-11-26 23:00:00',
               '2015-11-26 23:15:00', '2015-11-26 23:30:00',
               '2015-11-26 23:45:00', '2015-11-27 00:00:00'],
              dtype='datetime64[ns]', length=1319, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               ...
               '2015-11-22 06:45:00', '2015-11-22 07:00:00',
               '2015-11-22 07:15:00', '2015-11-22 07:30:00',
               '2015-11-22 07:45:00', '2015-11-22 08:00:00',
               '2015-11-22 08:15:00', '2015-11-22 08:30:00',
               '2015-11-22 08:45:00', '2015-11-22 09:00:00'],
              dtype='datetime64[ns]', length=940, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-10 20:45:00', '2015-11-10 21:00:00',
               '2015-11-10 21:15:00', '2015-11-10 21:30:00',
               '2015-11-10 21:45:00', '2015-11-10 22:00:00',
               '2015-11-10 22:15:00', '2015-11-10 22:30:00',
               '2015-11-10 22:45:00', '2015-11-10 23:00:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1930, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-10 09:00:00', '2015-11-10 09:15:00',
               '2015-11-10 09:30:00', '2015-11-10 09:45:00',
               '2015-11-10 10:00:00', '2015-11-10 10:15:00',
               '2015-11-10 10:30:00', '2015-11-10 10:45:00',
               '2015-11-10 11:00:00', '2015-11-10 11:15:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1977, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-12 09:00:00', '2015-11-12 09:15:00',
               '2015-11-12 09:30:00', '2015-11-12 09:45:00',
               '2015-11-12 10:00:00', '2015-11-12 10:15:00',
               '2015-11-12 10:30:00', '2015-11-12 10:45:00',
               '2015-11-12 11:00:00', '2015-11-12 11:15:00',
               ...
               '2015-11-21 06:30:00', '2015-11-21 06:45:00',
               '2015-11-21 07:00:00', '2015-11-21 07:15:00',
               '2015-11-21 07:30:00', '2015-11-21 07:45:00',
               '2015-11-21 08:00:00', '2015-11-21 08:15:00',
               '2015-11-21 08:30:00', '2015-11-21 08:45:00'],
              dtype='datetime64[ns]', length=864, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               ...
               '2015-11-28 06:45:00', '2015-11-28 07:00:00',
               '2015-11-28 07:15:00', '2015-11-28 07:30:00',
               '2015-11-28 07:45:00', '2015-11-28 08:00:00',
               '2015-11-28 08:15:00', '2015-11-28 08:30:00',
               '2015-11-28 08:45:00', '2015-11-28 09:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               ...
               '2015-11-22 06:45:00', '2015-11-22 07:00:00',
               '2015-11-22 07:15:00', '2015-11-22 07:30:00',
               '2015-11-22 07:45:00', '2015-11-22 08:00:00',
               '2015-11-22 08:15:00', '2015-11-22 08:30:00',
               '2015-11-22 08:45:00', '2015-11-22 09:00:00'],
              dtype='datetime64[ns]', length=803, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               ...
               '2015-11-21 06:45:00', '2015-11-21 07:00:00',
               '2015-11-21 07:15:00', '2015-11-21 07:30:00',
               '2015-11-21 07:45:00', '2015-11-21 08:00:00',
               '2015-11-21 08:15:00', '2015-11-21 08:30:00',
               '2015-11-21 08:45:00', '2015-11-21 09:00:00'],
              dtype='datetime64[ns]', length=611, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-09 19:45:00', '2015-11-09 20:00:00',
               '2015-11-09 20:15:00', '2015-11-09 20:30:00',
               '2015-11-09 20:45:00', '2015-11-09 21:00:00',
               '2015-11-09 21:15:00', '2015-11-09 21:30:00',
               '2015-11-09 21:45:00', '2015-11-09 22:00:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2030, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-05 09:00:00', '2015-11-05 09:15:00',
               '2015-11-05 09:30:00', '2015-11-05 09:45:00',
               '2015-11-05 10:00:00', '2015-11-05 10:15:00',
               '2015-11-05 10:30:00', '2015-11-05 10:45:00',
               '2015-11-05 11:00:00', '2015-11-05 11:15:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2457, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-03 01:00:00', '2015-11-03 01:15:00',
               '2015-11-03 01:30:00', '2015-11-03 01:45:00',
               '2015-11-03 02:00:00', '2015-11-03 02:15:00',
               '2015-11-03 02:30:00', '2015-11-03 02:45:00',
               '2015-11-03 03:00:00', '2015-11-03 03:15:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2681, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-02 09:00:00', '2015-11-02 09:15:00',
               '2015-11-02 09:30:00', '2015-11-02 09:45:00',
               '2015-11-02 10:00:00', '2015-11-02 10:15:00',
               '2015-11-02 10:30:00', '2015-11-02 10:45:00',
               '2015-11-02 11:00:00', '2015-11-02 11:15:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2745, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-11-1T00 to 2015-11-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-11 09:00:00', '2015-11-11 09:15:00',
               '2015-11-11 09:30:00', '2015-11-11 09:45:00',
               '2015-11-11 10:00:00', '2015-11-11 10:15:00',
               '2015-11-11 10:30:00', '2015-11-11 10:45:00',
               '2015-11-11 11:00:00', '2015-11-11 11:15:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1881, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-11-14 09:00:00', '2015-11-14 09:15:00',
               '2015-11-14 09:30:00', '2015-11-14 09:45:00',
               '2015-11-14 10:00:00', '2015-11-14 10:15:00',
               '2015-11-14 10:30:00', '2015-11-14 10:45:00',
               '2015-11-14 11:00:00', '2015-11-14 11:15:00',
               ...
               '2015-11-30 20:45:00', '2015-11-30 21:00:00',
               '2015-11-30 21:15:00', '2015-11-30 21:30:00',
               '2015-11-30 21:45:00', '2015-11-30 22:00:00',
               '2015-11-30 22:15:00', '2015-11-30 22:30:00',
               '2015-11-30 22:45:00', '2015-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1593, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00', '2015-11-08 19:45:00',
               '2015-11-08 20:00:00', '2015-11-08 20:15:00',
               '2015-11-08 20:30:00', '2015-11-08 20:45:00',
               '2015-11-08 22:15:00', '2015-11-08 22:30:00',
               '2015-11-08 22:45:00', '2015-11-08 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-11-1T00 to 2015-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-11-01 00:00:00', '2015-11-01 00:15:00',
               '2015-11-01 00:30:00', '2015-11-01 00:45:00',
               '2015-11-01 01:00:00', '2015-11-01 01:15:00',
               '2015-11-01 01:30:00', '2015-11-01 01:45:00',
               '2015-11-01 02:00:00', '2015-11-01 02:15:00',
               '2015-11-01 02:30:00', '2015-11-01 02:45:00',
               '2015-11-01 03:00:00', '2015-11-01 03:15:00',
               '2015-11-01 03:30:00', '2015-11-01 03:45:00',
               '2015-11-01 04:00:00', '2015-11-01 04:15:00',
               '2015-11-01 04:30:00', '2015-11-01 04:45:00',
               '2015-11-01 05:00:00', '2015-11-01 05:15:00',
               '2015-11-01 05:30:00', '2015-11-01 05:45:00',
               '2015-11-01 06:00:00', '2015-11-01 06:15:00',
               '2015-11-01 06:30:00', '2015-11-01 06:45:00',
               '2015-11-01 07:00:00', '2015-11-01 07:15:00',
               '2015-11-01 07:30:00', '2015-11-01 07:45:00',
               '2015-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.86, max INDEP value is 7.15
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               ...
               '2015-12-13 07:15:00', '2015-12-13 07:30:00',
               '2015-12-13 07:45:00', '2015-12-13 08:00:00',
               '2015-12-13 08:15:00', '2015-12-13 08:30:00',
               '2015-12-13 08:45:00', '2015-12-13 09:00:00',
               '2015-12-13 09:15:00', '2015-12-13 09:30:00'],
              dtype='datetime64[ns]', length=712, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               ...
               '2015-12-28 06:45:00', '2015-12-28 07:00:00',
               '2015-12-28 07:15:00', '2015-12-28 07:30:00',
               '2015-12-28 07:45:00', '2015-12-28 08:00:00',
               '2015-12-28 08:15:00', '2015-12-28 08:30:00',
               '2015-12-28 08:45:00', '2015-12-28 09:00:00'],
              dtype='datetime64[ns]', length=1193, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               ...
               '2015-12-28 06:45:00', '2015-12-28 07:00:00',
               '2015-12-28 07:15:00', '2015-12-28 07:30:00',
               '2015-12-28 07:45:00', '2015-12-28 08:00:00',
               '2015-12-28 08:15:00', '2015-12-28 08:30:00',
               '2015-12-28 08:45:00', '2015-12-28 09:00:00'],
              dtype='datetime64[ns]', length=1006, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               ...
               '2015-12-28 06:45:00', '2015-12-28 07:00:00',
               '2015-12-28 07:15:00', '2015-12-28 07:30:00',
               '2015-12-28 07:45:00', '2015-12-28 08:00:00',
               '2015-12-28 08:15:00', '2015-12-28 08:30:00',
               '2015-12-28 08:45:00', '2015-12-28 09:00:00'],
              dtype='datetime64[ns]', length=1195, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               ...
               '2015-12-29 06:45:00', '2015-12-29 07:00:00',
               '2015-12-29 07:15:00', '2015-12-29 07:30:00',
               '2015-12-29 07:45:00', '2015-12-29 08:00:00',
               '2015-12-29 08:15:00', '2015-12-29 08:30:00',
               '2015-12-29 08:45:00', '2015-12-29 09:00:00'],
              dtype='datetime64[ns]', length=615, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2015-12-06 20:45:00', '2015-12-06 21:00:00',
               '2015-12-06 21:15:00', '2015-12-06 21:30:00',
               '2015-12-06 21:45:00', '2015-12-06 22:00:00',
               '2015-12-06 22:15:00', '2015-12-06 22:30:00',
               '2015-12-06 22:45:00', '2015-12-06 23:00:00',
               ...
               '2015-12-31 20:45:00', '2015-12-31 21:00:00',
               '2015-12-31 21:15:00', '2015-12-31 21:30:00',
               '2015-12-31 21:45:00', '2015-12-31 22:00:00',
               '2015-12-31 22:15:00', '2015-12-31 22:30:00',
               '2015-12-31 22:45:00', '2015-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2410, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2015-12-05 09:00:00', '2015-12-05 09:15:00',
               '2015-12-05 09:30:00', '2015-12-05 09:45:00',
               '2015-12-05 10:00:00', '2015-12-05 10:15:00',
               '2015-12-05 10:30:00', '2015-12-05 10:45:00',
               '2015-12-05 11:00:00', '2015-12-05 11:15:00',
               ...
               '2015-12-31 20:45:00', '2015-12-31 21:00:00',
               '2015-12-31 21:15:00', '2015-12-31 21:30:00',
               '2015-12-31 21:45:00', '2015-12-31 22:00:00',
               '2015-12-31 22:15:00', '2015-12-31 22:30:00',
               '2015-12-31 22:45:00', '2015-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2553, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2015-12-1T00 to 2015-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2015-12-1T00 to 2015-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2015-12-01 00:00:00', '2015-12-01 00:15:00',
               '2015-12-01 00:30:00', '2015-12-01 00:45:00',
               '2015-12-01 01:00:00', '2015-12-01 01:15:00',
               '2015-12-01 01:30:00', '2015-12-01 01:45:00',
               '2015-12-01 02:00:00', '2015-12-01 02:15:00',
               '2015-12-01 02:30:00', '2015-12-01 02:45:00',
               '2015-12-01 03:00:00', '2015-12-01 03:15:00',
               '2015-12-01 03:30:00', '2015-12-01 03:45:00',
               '2015-12-01 04:00:00', '2015-12-01 04:15:00',
               '2015-12-01 04:30:00', '2015-12-01 04:45:00',
               '2015-12-01 05:00:00', '2015-12-01 05:15:00',
               '2015-12-01 05:30:00', '2015-12-01 05:45:00',
               '2015-12-01 06:00:00', '2015-12-01 06:15:00',
               '2015-12-01 06:30:00', '2015-12-01 06:45:00',
               '2015-12-01 07:00:00', '2015-12-01 07:15:00',
               '2015-12-01 07:30:00', '2015-12-01 07:45:00',
               '2015-12-01 08:00:00', '2015-12-01 08:15:00',
               '2015-12-01 08:30:00', '2015-12-01 08:45:00',
               '2015-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2016

year = 2016
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               ...
               '2016-01-31 13:15:00', '2016-01-31 13:30:00',
               '2016-01-31 13:45:00', '2016-01-31 14:00:00',
               '2016-01-31 14:15:00', '2016-01-31 14:30:00',
               '2016-01-31 14:45:00', '2016-01-31 15:00:00',
               '2016-01-31 15:15:00', '2016-01-31 15:30:00'],
              dtype='datetime64[ns]', length=1443, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               ...
               '2016-01-26 06:45:00', '2016-01-26 07:00:00',
               '2016-01-26 07:15:00', '2016-01-26 07:30:00',
               '2016-01-26 07:45:00', '2016-01-26 08:00:00',
               '2016-01-26 08:15:00', '2016-01-26 08:30:00',
               '2016-01-26 08:45:00', '2016-01-26 09:00:00'],
              dtype='datetime64[ns]', length=811, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               ...
               '2016-01-31 20:45:00', '2016-01-31 21:00:00',
               '2016-01-31 21:15:00', '2016-01-31 21:30:00',
               '2016-01-31 21:45:00', '2016-01-31 22:00:00',
               '2016-01-31 22:15:00', '2016-01-31 22:30:00',
               '2016-01-31 22:45:00', '2016-01-31 23:00:00'],
              dtype='datetime64[ns]', length=965, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               ...
               '2016-01-25 06:45:00', '2016-01-25 07:00:00',
               '2016-01-25 07:15:00', '2016-01-25 07:30:00',
               '2016-01-25 07:45:00', '2016-01-25 08:00:00',
               '2016-01-25 08:15:00', '2016-01-25 08:30:00',
               '2016-01-25 08:45:00', '2016-01-25 09:00:00'],
              dtype='datetime64[ns]', length=521, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-01-18 20:45:00', '2016-01-18 21:00:00',
               '2016-01-18 21:15:00', '2016-01-18 21:30:00',
               '2016-01-18 21:45:00', '2016-01-18 22:00:00',
               '2016-01-18 22:15:00', '2016-01-18 22:30:00',
               '2016-01-18 22:45:00', '2016-01-18 23:00:00',
               ...
               '2016-01-30 18:30:00', '2016-01-30 18:45:00',
               '2016-01-30 19:00:00', '2016-01-30 19:15:00',
               '2016-01-30 19:30:00', '2016-01-30 19:45:00',
               '2016-01-30 20:00:00', '2016-01-30 20:15:00',
               '2016-01-30 20:30:00', '2016-01-30 20:45:00'],
              dtype='datetime64[ns]', length=1153, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               ...
               '2016-01-16 18:45:00', '2016-01-16 19:00:00',
               '2016-01-16 19:15:00', '2016-01-16 19:30:00',
               '2016-01-16 19:45:00', '2016-01-16 20:00:00',
               '2016-01-16 20:15:00', '2016-01-16 20:30:00',
               '2016-01-16 20:45:00', '2016-01-16 21:00:00'],
              dtype='datetime64[ns]', length=1336, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-1-1T00 to 2016-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-1-1T00 to 2016-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 00:15:00',
               '2016-01-01 00:30:00', '2016-01-01 00:45:00',
               '2016-01-01 01:00:00', '2016-01-01 01:15:00',
               '2016-01-01 01:30:00', '2016-01-01 01:45:00',
               '2016-01-01 02:00:00', '2016-01-01 02:15:00',
               '2016-01-01 02:30:00', '2016-01-01 02:45:00',
               '2016-01-01 03:00:00', '2016-01-01 03:15:00',
               '2016-01-01 03:30:00', '2016-01-01 03:45:00',
               '2016-01-01 04:00:00', '2016-01-01 04:15:00',
               '2016-01-01 04:30:00', '2016-01-01 04:45:00',
               '2016-01-01 05:00:00', '2016-01-01 05:15:00',
               '2016-01-01 05:30:00', '2016-01-01 05:45:00',
               '2016-01-01 06:00:00', '2016-01-01 06:15:00',
               '2016-01-01 06:30:00', '2016-01-01 06:45:00',
               '2016-01-01 07:00:00', '2016-01-01 07:15:00',
               '2016-01-01 07:30:00', '2016-01-01 07:45:00',
               '2016-01-01 08:00:00', '2016-01-01 08:15:00',
               '2016-01-01 08:30:00', '2016-01-01 08:45:00',
               '2016-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               ...
               '2016-02-24 06:45:00', '2016-02-24 07:00:00',
               '2016-02-24 07:15:00', '2016-02-24 07:30:00',
               '2016-02-24 07:45:00', '2016-02-24 08:00:00',
               '2016-02-24 08:15:00', '2016-02-24 08:30:00',
               '2016-02-24 08:45:00', '2016-02-24 09:00:00'],
              dtype='datetime64[ns]', length=1003, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               ...
               '2016-02-21 06:45:00', '2016-02-21 07:00:00',
               '2016-02-21 07:15:00', '2016-02-21 07:30:00',
               '2016-02-21 07:45:00', '2016-02-21 08:00:00',
               '2016-02-21 08:15:00', '2016-02-21 08:30:00',
               '2016-02-21 08:45:00', '2016-02-21 09:00:00'],
              dtype='datetime64[ns]', length=905, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               ...
               '2016-02-21 06:45:00', '2016-02-21 07:00:00',
               '2016-02-21 07:15:00', '2016-02-21 07:30:00',
               '2016-02-21 07:45:00', '2016-02-21 08:00:00',
               '2016-02-21 08:15:00', '2016-02-21 08:30:00',
               '2016-02-21 08:45:00', '2016-02-21 09:00:00'],
              dtype='datetime64[ns]', length=807, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               ...
               '2016-02-20 18:45:00', '2016-02-20 19:00:00',
               '2016-02-20 19:15:00', '2016-02-20 19:30:00',
               '2016-02-20 19:45:00', '2016-02-20 20:00:00',
               '2016-02-20 20:15:00', '2016-02-20 20:30:00',
               '2016-02-20 20:45:00', '2016-02-20 21:00:00'],
              dtype='datetime64[ns]', length=952, freq=None).
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               ...
               '2016-02-09 06:30:00', '2016-02-09 06:45:00',
               '2016-02-09 07:00:00', '2016-02-09 07:15:00',
               '2016-02-09 07:30:00', '2016-02-09 07:45:00',
               '2016-02-09 08:00:00', '2016-02-09 08:15:00',
               '2016-02-09 08:30:00', '2016-02-09 08:45:00'],
              dtype='datetime64[ns]', length=804, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               ...
               '2016-02-21 08:00:00', '2016-02-21 08:15:00',
               '2016-02-21 08:30:00', '2016-02-21 08:45:00',
               '2016-02-21 09:00:00', '2016-02-25 23:00:00',
               '2016-02-25 23:15:00', '2016-02-25 23:30:00',
               '2016-02-25 23:45:00', '2016-02-26 00:00:00'],
              dtype='datetime64[ns]', length=1148, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-2-1T00 to 2016-02-29T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-2-1T00 to 2016-02-29T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-02-01 00:00:00', '2016-02-01 00:15:00',
               '2016-02-01 00:30:00', '2016-02-01 00:45:00',
               '2016-02-01 01:00:00', '2016-02-01 01:15:00',
               '2016-02-01 01:30:00', '2016-02-01 01:45:00',
               '2016-02-01 02:00:00', '2016-02-01 02:15:00',
               '2016-02-01 02:30:00', '2016-02-01 02:45:00',
               '2016-02-01 03:00:00', '2016-02-01 03:15:00',
               '2016-02-01 03:30:00', '2016-02-01 03:45:00',
               '2016-02-01 04:00:00', '2016-02-01 04:15:00',
               '2016-02-01 04:30:00', '2016-02-01 04:45:00',
               '2016-02-01 05:00:00', '2016-02-01 05:15:00',
               '2016-02-01 05:30:00', '2016-02-01 05:45:00',
               '2016-02-01 06:00:00', '2016-02-01 06:15:00',
               '2016-02-01 06:30:00', '2016-02-01 06:45:00',
               '2016-02-01 07:00:00', '2016-02-01 07:15:00',
               '2016-02-01 07:30:00', '2016-02-01 07:45:00',
               '2016-02-01 08:00:00', '2016-02-01 08:15:00',
               '2016-02-01 08:30:00', '2016-02-01 08:45:00',
               '2016-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               ...
               '2016-03-27 05:30:00', '2016-03-27 05:45:00',
               '2016-03-27 06:00:00', '2016-03-27 06:15:00',
               '2016-03-27 06:30:00', '2016-03-27 06:45:00',
               '2016-03-27 07:00:00', '2016-03-27 07:15:00',
               '2016-03-27 07:30:00', '2016-03-27 07:45:00'],
              dtype='datetime64[ns]', length=2528, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               ...
               '2016-03-14 05:45:00', '2016-03-14 06:00:00',
               '2016-03-14 06:15:00', '2016-03-14 06:30:00',
               '2016-03-14 06:45:00', '2016-03-14 07:00:00',
               '2016-03-14 07:15:00', '2016-03-14 07:30:00',
               '2016-03-14 07:45:00', '2016-03-14 08:00:00'],
              dtype='datetime64[ns]', length=709, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               ...
               '2016-03-21 05:45:00', '2016-03-21 06:00:00',
               '2016-03-21 06:15:00', '2016-03-21 06:30:00',
               '2016-03-21 06:45:00', '2016-03-21 07:00:00',
               '2016-03-21 07:15:00', '2016-03-21 07:30:00',
               '2016-03-21 07:45:00', '2016-03-21 08:00:00'],
              dtype='datetime64[ns]', length=231, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-3-1T00 to 2016-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00', '2016-03-02 22:45:00',
               '2016-03-02 23:00:00', '2016-03-02 23:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               ...
               '2016-03-10 06:30:00', '2016-03-10 06:45:00',
               '2016-03-10 07:00:00', '2016-03-10 07:15:00',
               '2016-03-10 07:30:00', '2016-03-10 07:45:00',
               '2016-03-10 08:00:00', '2016-03-10 08:15:00',
               '2016-03-10 08:30:00', '2016-03-10 08:45:00'],
              dtype='datetime64[ns]', length=900, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00', '2016-03-02 22:45:00',
               '2016-03-02 23:00:00', '2016-03-02 23:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-3-1T00 to 2016-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-03-01 00:00:00', '2016-03-01 00:15:00',
               '2016-03-01 00:30:00', '2016-03-01 00:45:00',
               '2016-03-01 01:00:00', '2016-03-01 01:15:00',
               '2016-03-01 01:30:00', '2016-03-01 01:45:00',
               '2016-03-01 02:00:00', '2016-03-01 02:15:00',
               '2016-03-01 02:30:00', '2016-03-01 02:45:00',
               '2016-03-01 03:00:00', '2016-03-01 03:15:00',
               '2016-03-01 03:30:00', '2016-03-01 03:45:00',
               '2016-03-01 04:00:00', '2016-03-01 04:15:00',
               '2016-03-01 04:30:00', '2016-03-01 04:45:00',
               '2016-03-01 05:00:00', '2016-03-01 05:15:00',
               '2016-03-01 05:30:00', '2016-03-01 05:45:00',
               '2016-03-01 06:00:00', '2016-03-01 06:15:00',
               '2016-03-01 06:30:00', '2016-03-01 06:45:00',
               '2016-03-01 07:00:00', '2016-03-01 07:15:00',
               '2016-03-01 07:30:00', '2016-03-01 07:45:00',
               '2016-03-01 08:00:00', '2016-03-01 08:15:00',
               '2016-03-01 08:30:00', '2016-03-01 08:45:00',
               '2016-03-01 09:00:00', '2016-03-02 22:45:00',
               '2016-03-02 23:00:00', '2016-03-02 23:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               ...
               '2016-04-05 07:15:00', '2016-04-05 07:30:00',
               '2016-04-05 07:45:00', '2016-04-05 08:00:00',
               '2016-04-06 18:00:00', '2016-04-06 18:15:00',
               '2016-04-06 18:30:00', '2016-04-14 07:15:00',
               '2016-04-14 07:30:00', '2016-04-14 07:45:00'],
              dtype='datetime64[ns]', length=423, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               ...
               '2016-04-12 05:45:00', '2016-04-12 06:00:00',
               '2016-04-12 06:15:00', '2016-04-12 06:30:00',
               '2016-04-12 06:45:00', '2016-04-12 07:00:00',
               '2016-04-12 07:15:00', '2016-04-12 07:30:00',
               '2016-04-12 07:45:00', '2016-04-12 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               ...
               '2016-04-13 12:00:00', '2016-04-13 12:15:00',
               '2016-04-13 12:30:00', '2016-04-13 12:45:00',
               '2016-04-13 13:00:00', '2016-04-13 13:15:00',
               '2016-04-13 13:30:00', '2016-04-13 13:45:00',
               '2016-04-13 14:00:00', '2016-04-13 14:15:00'],
              dtype='datetime64[ns]', length=1210, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               ...
               '2016-04-24 05:30:00', '2016-04-24 05:45:00',
               '2016-04-24 06:00:00', '2016-04-24 06:15:00',
               '2016-04-24 06:30:00', '2016-04-24 06:45:00',
               '2016-04-24 07:00:00', '2016-04-24 07:15:00',
               '2016-04-24 07:30:00', '2016-04-24 07:45:00'],
              dtype='datetime64[ns]', length=2240, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-27 07:45:00', '2016-04-27 08:00:00',
               '2016-04-27 08:15:00', '2016-04-27 08:30:00',
               '2016-04-27 08:45:00', '2016-04-27 09:00:00',
               '2016-04-27 09:15:00', '2016-04-27 09:30:00',
               '2016-04-27 09:45:00', '2016-04-27 10:00:00',
               '2016-04-27 10:15:00', '2016-04-27 10:30:00',
               '2016-04-27 10:45:00', '2016-04-27 11:00:00',
               '2016-04-27 11:15:00', '2016-04-27 11:30:00',
               '2016-04-27 11:45:00', '2016-04-27 12:00:00',
               '2016-04-27 12:15:00', '2016-04-27 12:30:00',
               '2016-04-27 12:45:00', '2016-04-27 13:00:00',
               '2016-04-27 13:15:00', '2016-04-27 13:30:00',
               '2016-04-27 13:45:00', '2016-04-27 14:00:00',
               '2016-04-27 14:15:00', '2016-04-27 14:30:00',
               '2016-04-27 14:45:00', '2016-04-27 15:00:00',
               '2016-04-27 15:15:00', '2016-04-27 15:30:00',
               '2016-04-27 15:45:00', '2016-04-27 16:00:00',
               '2016-04-27 16:15:00', '2016-04-27 16:30:00',
               '2016-04-27 16:45:00', '2016-04-27 17:00:00',
               '2016-04-27 17:15:00', '2016-04-27 17:30:00',
               '2016-04-27 17:45:00', '2016-04-27 18:00:00',
               '2016-04-27 18:15:00', '2016-04-27 18:30:00',
               '2016-04-27 18:45:00', '2016-04-27 19:00:00',
               '2016-04-27 19:15:00', '2016-04-27 19:30:00',
               '2016-04-27 19:45:00', '2016-04-27 20:00:00',
               '2016-04-27 20:15:00', '2016-04-27 20:30:00',
               '2016-04-27 20:45:00', '2016-04-27 21:00:00',
               '2016-04-27 21:15:00', '2016-04-27 21:30:00',
               '2016-04-27 21:45:00', '2016-04-27 22:00:00',
               '2016-04-27 22:15:00', '2016-04-27 22:30:00',
               '2016-04-27 22:45:00', '2016-04-27 23:00:00',
               '2016-04-27 23:15:00', '2016-04-27 23:30:00',
               '2016-04-27 23:45:00', '2016-04-28 00:00:00',
               '2016-04-28 00:15:00', '2016-04-28 00:30:00',
               '2016-04-28 00:45:00', '2016-04-28 01:00:00',
               '2016-04-28 01:15:00', '2016-04-28 01:30:00',
               '2016-04-28 01:45:00', '2016-04-28 02:00:00',
               '2016-04-28 02:15:00', '2016-04-28 02:30:00',
               '2016-04-28 02:45:00', '2016-04-28 03:00:00',
               '2016-04-28 03:15:00', '2016-04-28 03:30:00',
               '2016-04-28 03:45:00', '2016-04-28 04:00:00',
               '2016-04-28 04:15:00', '2016-04-28 04:30:00',
               '2016-04-28 04:45:00', '2016-04-28 05:00:00',
               '2016-04-28 05:15:00', '2016-04-28 05:30:00',
               '2016-04-28 05:45:00', '2016-04-28 06:00:00',
               '2016-04-28 06:15:00', '2016-04-28 06:30:00',
               '2016-04-28 06:45:00', '2016-04-28 07:00:00',
               '2016-04-28 07:15:00', '2016-04-28 07:30:00',
               '2016-04-28 07:45:00', '2016-04-28 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-4-1T00 to 2016-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               ...
               '2016-04-03 06:30:00', '2016-04-03 06:45:00',
               '2016-04-03 07:00:00', '2016-04-03 07:15:00',
               '2016-04-03 07:30:00', '2016-04-03 07:45:00',
               '2016-04-03 08:00:00', '2016-04-08 22:15:00',
               '2016-04-08 22:30:00', '2016-04-08 22:45:00'],
              dtype='datetime64[ns]', length=228, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00', '2016-04-06 17:15:00',
               '2016-04-06 17:30:00', '2016-04-06 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00', '2016-04-06 17:15:00',
               '2016-04-06 17:30:00', '2016-04-06 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-4-1T00 to 2016-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-04-01 00:00:00', '2016-04-01 00:15:00',
               '2016-04-01 00:30:00', '2016-04-01 00:45:00',
               '2016-04-01 01:00:00', '2016-04-01 01:15:00',
               '2016-04-01 01:30:00', '2016-04-01 01:45:00',
               '2016-04-01 02:00:00', '2016-04-01 02:15:00',
               '2016-04-01 02:30:00', '2016-04-01 02:45:00',
               '2016-04-01 03:00:00', '2016-04-01 03:15:00',
               '2016-04-01 03:30:00', '2016-04-01 03:45:00',
               '2016-04-01 04:00:00', '2016-04-01 04:15:00',
               '2016-04-01 04:30:00', '2016-04-01 04:45:00',
               '2016-04-01 05:00:00', '2016-04-01 05:15:00',
               '2016-04-01 05:30:00', '2016-04-01 05:45:00',
               '2016-04-01 06:00:00', '2016-04-01 06:15:00',
               '2016-04-01 06:30:00', '2016-04-01 06:45:00',
               '2016-04-01 07:00:00', '2016-04-01 07:15:00',
               '2016-04-01 07:30:00', '2016-04-01 07:45:00',
               '2016-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00', '2016-05-05 12:15:00',
               '2016-05-05 12:30:00', '2016-05-05 12:45:00',
               '2016-05-22 21:30:00', '2016-05-22 21:45:00',
               '2016-05-22 22:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               ...
               '2016-05-10 05:45:00', '2016-05-10 06:00:00',
               '2016-05-10 06:15:00', '2016-05-10 06:30:00',
               '2016-05-10 06:45:00', '2016-05-10 07:00:00',
               '2016-05-10 07:15:00', '2016-05-10 07:30:00',
               '2016-05-10 07:45:00', '2016-05-10 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00', '2016-05-24 18:30:00',
               '2016-05-24 18:45:00', '2016-05-24 19:00:00',
               '2016-05-24 19:15:00', '2016-05-24 19:30:00',
               '2016-05-24 19:45:00', '2016-05-24 20:00:00',
               '2016-05-24 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-5-1T00 to 2016-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00', '2016-05-05 21:15:00',
               '2016-05-05 21:30:00', '2016-05-05 21:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00', '2016-05-24 18:30:00',
               '2016-05-24 18:45:00', '2016-05-24 19:00:00',
               '2016-05-24 19:15:00', '2016-05-24 19:30:00',
               '2016-05-24 19:45:00', '2016-05-24 20:00:00',
               '2016-05-24 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-5-1T00 to 2016-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-05-01 00:00:00', '2016-05-01 00:15:00',
               '2016-05-01 00:30:00', '2016-05-01 00:45:00',
               '2016-05-01 01:00:00', '2016-05-01 01:15:00',
               '2016-05-01 01:30:00', '2016-05-01 01:45:00',
               '2016-05-01 02:00:00', '2016-05-01 02:15:00',
               '2016-05-01 02:30:00', '2016-05-01 02:45:00',
               '2016-05-01 03:00:00', '2016-05-01 03:15:00',
               '2016-05-01 03:30:00', '2016-05-01 03:45:00',
               '2016-05-01 04:00:00', '2016-05-01 04:15:00',
               '2016-05-01 04:30:00', '2016-05-01 04:45:00',
               '2016-05-01 05:00:00', '2016-05-01 05:15:00',
               '2016-05-01 05:30:00', '2016-05-01 05:45:00',
               '2016-05-01 06:00:00', '2016-05-01 06:15:00',
               '2016-05-01 06:30:00', '2016-05-01 06:45:00',
               '2016-05-01 07:00:00', '2016-05-01 07:15:00',
               '2016-05-01 07:30:00', '2016-05-01 07:45:00',
               '2016-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               ...
               '2016-06-08 05:45:00', '2016-06-08 06:00:00',
               '2016-06-08 06:15:00', '2016-06-08 06:30:00',
               '2016-06-08 06:45:00', '2016-06-08 07:00:00',
               '2016-06-08 07:15:00', '2016-06-08 07:30:00',
               '2016-06-08 07:45:00', '2016-06-08 08:00:00'],
              dtype='datetime64[ns]', length=419, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-6-1T00 to 2016-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-6-1T00 to 2016-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-06-01 00:00:00', '2016-06-01 00:15:00',
               '2016-06-01 00:30:00', '2016-06-01 00:45:00',
               '2016-06-01 01:00:00', '2016-06-01 01:15:00',
               '2016-06-01 01:30:00', '2016-06-01 01:45:00',
               '2016-06-01 02:00:00', '2016-06-01 02:15:00',
               '2016-06-01 02:30:00', '2016-06-01 02:45:00',
               '2016-06-01 03:00:00', '2016-06-01 03:15:00',
               '2016-06-01 03:30:00', '2016-06-01 03:45:00',
               '2016-06-01 04:00:00', '2016-06-01 04:15:00',
               '2016-06-01 04:30:00', '2016-06-01 04:45:00',
               '2016-06-01 05:00:00', '2016-06-01 05:15:00',
               '2016-06-01 05:30:00', '2016-06-01 05:45:00',
               '2016-06-01 06:00:00', '2016-06-01 06:15:00',
               '2016-06-01 06:30:00', '2016-06-01 06:45:00',
               '2016-06-01 07:00:00', '2016-06-01 07:15:00',
               '2016-06-01 07:30:00', '2016-06-01 07:45:00',
               '2016-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00', '2016-07-12 20:00:00',
               '2016-07-12 20:15:00', '2016-07-12 20:30:00',
               '2016-07-13 18:15:00', '2016-07-13 18:30:00',
               '2016-07-13 18:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               ...
               '2016-07-06 05:45:00', '2016-07-06 06:00:00',
               '2016-07-06 06:15:00', '2016-07-06 06:30:00',
               '2016-07-06 06:45:00', '2016-07-06 07:00:00',
               '2016-07-06 07:15:00', '2016-07-06 07:30:00',
               '2016-07-06 07:45:00', '2016-07-06 08:00:00'],
              dtype='datetime64[ns]', length=513, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               ...
               '2016-07-07 05:45:00', '2016-07-07 06:00:00',
               '2016-07-07 06:15:00', '2016-07-07 06:30:00',
               '2016-07-07 06:45:00', '2016-07-07 07:00:00',
               '2016-07-07 07:15:00', '2016-07-07 07:30:00',
               '2016-07-07 07:45:00', '2016-07-07 08:00:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00', '2016-07-31 07:45:00',
               '2016-07-31 08:00:00', '2016-07-31 08:15:00',
               '2016-07-31 08:30:00', '2016-07-31 08:45:00',
               '2016-07-31 09:00:00', '2016-07-31 09:15:00',
               '2016-07-31 09:30:00', '2016-07-31 09:45:00',
               '2016-07-31 10:00:00', '2016-07-31 10:15:00',
               '2016-07-31 10:30:00', '2016-07-31 10:45:00',
               '2016-07-31 11:00:00', '2016-07-31 11:15:00',
               '2016-07-31 11:30:00', '2016-07-31 11:45:00',
               '2016-07-31 12:00:00', '2016-07-31 12:15:00',
               '2016-07-31 12:30:00', '2016-07-31 12:45:00',
               '2016-07-31 13:00:00', '2016-07-31 13:15:00',
               '2016-07-31 13:30:00', '2016-07-31 13:45:00',
               '2016-07-31 14:00:00', '2016-07-31 14:15:00',
               '2016-07-31 14:30:00', '2016-07-31 14:45:00',
               '2016-07-31 15:00:00', '2016-07-31 15:15:00',
               '2016-07-31 15:30:00', '2016-07-31 15:45:00',
               '2016-07-31 16:00:00', '2016-07-31 16:15:00',
               '2016-07-31 16:30:00', '2016-07-31 16:45:00',
               '2016-07-31 17:00:00', '2016-07-31 17:15:00',
               '2016-07-31 17:30:00', '2016-07-31 17:45:00',
               '2016-07-31 18:00:00', '2016-07-31 18:15:00',
               '2016-07-31 18:30:00', '2016-07-31 18:45:00',
               '2016-07-31 19:00:00', '2016-07-31 19:15:00',
               '2016-07-31 19:30:00', '2016-07-31 19:45:00',
               '2016-07-31 20:00:00', '2016-07-31 20:15:00',
               '2016-07-31 20:30:00', '2016-07-31 20:45:00',
               '2016-07-31 21:00:00', '2016-07-31 21:15:00',
               '2016-07-31 21:30:00', '2016-07-31 21:45:00',
               '2016-07-31 22:00:00', '2016-07-31 22:15:00',
               '2016-07-31 22:30:00', '2016-07-31 22:45:00',
               '2016-07-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-7-1T00 to 2016-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-7-1T00 to 2016-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-07-01 00:00:00', '2016-07-01 00:15:00',
               '2016-07-01 00:30:00', '2016-07-01 00:45:00',
               '2016-07-01 01:00:00', '2016-07-01 01:15:00',
               '2016-07-01 01:30:00', '2016-07-01 01:45:00',
               '2016-07-01 02:00:00', '2016-07-01 02:15:00',
               '2016-07-01 02:30:00', '2016-07-01 02:45:00',
               '2016-07-01 03:00:00', '2016-07-01 03:15:00',
               '2016-07-01 03:30:00', '2016-07-01 03:45:00',
               '2016-07-01 04:00:00', '2016-07-01 04:15:00',
               '2016-07-01 04:30:00', '2016-07-01 04:45:00',
               '2016-07-01 05:00:00', '2016-07-01 05:15:00',
               '2016-07-01 05:30:00', '2016-07-01 05:45:00',
               '2016-07-01 06:00:00', '2016-07-01 06:15:00',
               '2016-07-01 06:30:00', '2016-07-01 06:45:00',
               '2016-07-01 07:00:00', '2016-07-01 07:15:00',
               '2016-07-01 07:30:00', '2016-07-01 07:45:00',
               '2016-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00', '2016-08-02 20:00:00',
               '2016-08-02 20:15:00', '2016-08-02 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00', '2016-08-15 20:00:00',
               '2016-08-15 20:15:00', '2016-08-15 20:30:00',
               '2016-08-15 21:00:00', '2016-08-15 21:15:00',
               '2016-08-15 21:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               ...
               '2016-08-10 22:45:00', '2016-08-10 23:00:00',
               '2016-08-10 23:15:00', '2016-08-10 23:30:00',
               '2016-08-11 01:00:00', '2016-08-11 01:15:00',
               '2016-08-11 01:30:00', '2016-08-11 02:00:00',
               '2016-08-11 02:15:00', '2016-08-11 02:30:00'],
              dtype='datetime64[ns]', length=183, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00', '2016-08-01 23:00:00',
               '2016-08-01 23:15:00', '2016-08-01 23:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-8-1T00 to 2016-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               ...
               '2016-08-16 05:45:00', '2016-08-16 06:00:00',
               '2016-08-16 06:15:00', '2016-08-16 06:30:00',
               '2016-08-16 06:45:00', '2016-08-16 07:00:00',
               '2016-08-16 07:15:00', '2016-08-16 07:30:00',
               '2016-08-16 07:45:00', '2016-08-16 08:00:00'],
              dtype='datetime64[ns]', length=131, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-8-1T00 to 2016-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-08-01 00:00:00', '2016-08-01 00:15:00',
               '2016-08-01 00:30:00', '2016-08-01 00:45:00',
               '2016-08-01 01:00:00', '2016-08-01 01:15:00',
               '2016-08-01 01:30:00', '2016-08-01 01:45:00',
               '2016-08-01 02:00:00', '2016-08-01 02:15:00',
               '2016-08-01 02:30:00', '2016-08-01 02:45:00',
               '2016-08-01 03:00:00', '2016-08-01 03:15:00',
               '2016-08-01 03:30:00', '2016-08-01 03:45:00',
               '2016-08-01 04:00:00', '2016-08-01 04:15:00',
               '2016-08-01 04:30:00', '2016-08-01 04:45:00',
               '2016-08-01 05:00:00', '2016-08-01 05:15:00',
               '2016-08-01 05:30:00', '2016-08-01 05:45:00',
               '2016-08-01 06:00:00', '2016-08-01 06:15:00',
               '2016-08-01 06:30:00', '2016-08-01 06:45:00',
               '2016-08-01 07:00:00', '2016-08-01 07:15:00',
               '2016-08-01 07:30:00', '2016-08-01 07:45:00',
               '2016-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00', '2016-09-12 08:45:00',
               '2016-09-12 09:00:00', '2016-09-12 09:15:00',
               '2016-09-12 10:45:00', '2016-09-12 11:00:00',
               '2016-09-12 11:15:00', '2016-09-23 04:15:00',
               '2016-09-23 04:30:00', '2016-09-23 04:45:00',
               '2016-09-23 06:00:00', '2016-09-23 06:15:00',
               '2016-09-23 06:30:00', '2016-09-23 09:15:00',
               '2016-09-23 09:30:00', '2016-09-23 09:45:00',
               '2016-09-23 16:00:00', '2016-09-23 16:15:00',
               '2016-09-23 16:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               ...
               '2016-09-21 05:45:00', '2016-09-21 06:00:00',
               '2016-09-21 06:15:00', '2016-09-21 06:30:00',
               '2016-09-21 06:45:00', '2016-09-21 07:00:00',
               '2016-09-21 07:15:00', '2016-09-21 07:30:00',
               '2016-09-21 07:45:00', '2016-09-21 08:00:00'],
              dtype='datetime64[ns]', length=515, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-9-1T00 to 2016-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-9-1T00 to 2016-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-09-01 00:00:00', '2016-09-01 00:15:00',
               '2016-09-01 00:30:00', '2016-09-01 00:45:00',
               '2016-09-01 01:00:00', '2016-09-01 01:15:00',
               '2016-09-01 01:30:00', '2016-09-01 01:45:00',
               '2016-09-01 02:00:00', '2016-09-01 02:15:00',
               '2016-09-01 02:30:00', '2016-09-01 02:45:00',
               '2016-09-01 03:00:00', '2016-09-01 03:15:00',
               '2016-09-01 03:30:00', '2016-09-01 03:45:00',
               '2016-09-01 04:00:00', '2016-09-01 04:15:00',
               '2016-09-01 04:30:00', '2016-09-01 04:45:00',
               '2016-09-01 05:00:00', '2016-09-01 05:15:00',
               '2016-09-01 05:30:00', '2016-09-01 05:45:00',
               '2016-09-01 06:00:00', '2016-09-01 06:15:00',
               '2016-09-01 06:30:00', '2016-09-01 06:45:00',
               '2016-09-01 07:00:00', '2016-09-01 07:15:00',
               '2016-09-01 07:30:00', '2016-09-01 07:45:00',
               '2016-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               ...
               '2016-10-29 14:30:00', '2016-10-29 14:45:00',
               '2016-10-29 15:00:00', '2016-10-29 15:15:00',
               '2016-10-29 15:30:00', '2016-10-29 15:45:00',
               '2016-10-29 16:00:00', '2016-10-29 16:15:00',
               '2016-10-29 16:30:00', '2016-10-29 16:45:00'],
              dtype='datetime64[ns]', length=708, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:588} Keeping the discharge data with questionable flags.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               ...
               '2016-10-28 07:00:00', '2016-10-28 07:15:00',
               '2016-10-28 07:30:00', '2016-10-28 07:45:00',
               '2016-10-28 08:00:00', '2016-10-28 08:15:00',
               '2016-10-28 08:30:00', '2016-10-28 08:45:00',
               '2016-10-28 09:00:00', '2016-10-28 09:15:00'],
              dtype='datetime64[ns]', length=285, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-10-15 19:45:00', '2016-10-15 20:00:00',
               '2016-10-15 20:15:00', '2016-10-15 20:30:00',
               '2016-10-15 20:45:00', '2016-10-15 21:00:00',
               '2016-10-15 21:15:00', '2016-10-15 21:30:00',
               '2016-10-15 21:45:00', '2016-10-15 22:00:00',
               ...
               '2016-10-31 20:45:00', '2016-10-31 21:00:00',
               '2016-10-31 21:15:00', '2016-10-31 21:30:00',
               '2016-10-31 21:45:00', '2016-10-31 22:00:00',
               '2016-10-31 22:15:00', '2016-10-31 22:30:00',
               '2016-10-31 22:45:00', '2016-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1550, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-10-15 08:00:00', '2016-10-15 08:15:00',
               '2016-10-15 08:30:00', '2016-10-15 08:45:00',
               '2016-10-15 09:00:00', '2016-10-15 09:15:00',
               '2016-10-15 09:30:00', '2016-10-15 09:45:00',
               '2016-10-15 10:00:00', '2016-10-15 10:15:00',
               ...
               '2016-10-31 20:45:00', '2016-10-31 21:00:00',
               '2016-10-31 21:15:00', '2016-10-31 21:30:00',
               '2016-10-31 21:45:00', '2016-10-31 22:00:00',
               '2016-10-31 22:15:00', '2016-10-31 22:30:00',
               '2016-10-31 22:45:00', '2016-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1597, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               ...
               '2016-10-20 01:00:00', '2016-10-20 01:15:00',
               '2016-10-20 01:30:00', '2016-10-20 01:45:00',
               '2016-10-20 02:00:00', '2016-10-20 02:15:00',
               '2016-10-20 02:30:00', '2016-10-20 02:45:00',
               '2016-10-20 03:00:00', '2016-10-20 03:15:00'],
              dtype='datetime64[ns]', length=157, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-10-17 02:30:00', '2016-10-17 02:45:00',
               '2016-10-17 03:00:00', '2016-10-17 03:15:00',
               '2016-10-17 03:30:00', '2016-10-17 03:45:00',
               '2016-10-17 04:00:00', '2016-10-17 04:15:00',
               '2016-10-17 04:30:00', '2016-10-17 04:45:00',
               ...
               '2016-10-31 20:45:00', '2016-10-31 21:00:00',
               '2016-10-31 21:15:00', '2016-10-31 21:30:00',
               '2016-10-31 21:45:00', '2016-10-31 22:00:00',
               '2016-10-31 22:15:00', '2016-10-31 22:30:00',
               '2016-10-31 22:45:00', '2016-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1427, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-10-16 08:00:00', '2016-10-16 08:15:00',
               '2016-10-16 08:30:00', '2016-10-16 08:45:00',
               '2016-10-16 09:00:00', '2016-10-16 09:15:00',
               '2016-10-16 09:30:00', '2016-10-16 09:45:00',
               '2016-10-16 10:00:00', '2016-10-16 10:15:00',
               ...
               '2016-10-31 20:45:00', '2016-10-31 21:00:00',
               '2016-10-31 21:15:00', '2016-10-31 21:30:00',
               '2016-10-31 21:45:00', '2016-10-31 22:00:00',
               '2016-10-31 22:15:00', '2016-10-31 22:30:00',
               '2016-10-31 22:45:00', '2016-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1501, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-10-18 02:30:00', '2016-10-18 02:45:00',
               '2016-10-18 03:00:00', '2016-10-18 03:15:00',
               '2016-10-18 03:30:00', '2016-10-18 03:45:00',
               '2016-10-18 04:00:00', '2016-10-18 04:15:00',
               '2016-10-18 04:30:00', '2016-10-18 04:45:00',
               ...
               '2016-10-31 20:45:00', '2016-10-31 21:00:00',
               '2016-10-31 21:15:00', '2016-10-31 21:30:00',
               '2016-10-31 21:45:00', '2016-10-31 22:00:00',
               '2016-10-31 22:15:00', '2016-10-31 22:30:00',
               '2016-10-31 22:45:00', '2016-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1331, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-10-16 08:00:00', '2016-10-16 08:15:00',
               '2016-10-16 08:30:00', '2016-10-16 08:45:00',
               '2016-10-16 09:00:00', '2016-10-16 09:15:00',
               '2016-10-16 09:30:00', '2016-10-16 09:45:00',
               '2016-10-16 10:00:00', '2016-10-16 10:15:00',
               ...
               '2016-10-31 20:45:00', '2016-10-31 21:00:00',
               '2016-10-31 21:15:00', '2016-10-31 21:30:00',
               '2016-10-31 21:45:00', '2016-10-31 22:00:00',
               '2016-10-31 22:15:00', '2016-10-31 22:30:00',
               '2016-10-31 22:45:00', '2016-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1501, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-10-1T00 to 2016-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-10-23 08:00:00', '2016-10-23 08:15:00',
               '2016-10-23 08:30:00', '2016-10-23 08:45:00',
               '2016-10-23 09:00:00', '2016-10-23 09:15:00',
               '2016-10-23 09:30:00', '2016-10-23 09:45:00',
               '2016-10-23 10:00:00', '2016-10-23 10:15:00',
               ...
               '2016-10-31 20:45:00', '2016-10-31 21:00:00',
               '2016-10-31 21:15:00', '2016-10-31 21:30:00',
               '2016-10-31 21:45:00', '2016-10-31 22:00:00',
               '2016-10-31 22:15:00', '2016-10-31 22:30:00',
               '2016-10-31 22:45:00', '2016-10-31 23:00:00'],
              dtype='datetime64[ns]', length=829, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00', '2016-10-20 00:45:00',
               '2016-10-20 01:00:00', '2016-10-20 01:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00', '2016-10-20 00:45:00',
               '2016-10-20 01:00:00', '2016-10-20 01:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-10-1T00 to 2016-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-10-01 00:00:00', '2016-10-01 00:15:00',
               '2016-10-01 00:30:00', '2016-10-01 00:45:00',
               '2016-10-01 01:00:00', '2016-10-01 01:15:00',
               '2016-10-01 01:30:00', '2016-10-01 01:45:00',
               '2016-10-01 02:00:00', '2016-10-01 02:15:00',
               '2016-10-01 02:30:00', '2016-10-01 02:45:00',
               '2016-10-01 03:00:00', '2016-10-01 03:15:00',
               '2016-10-01 03:30:00', '2016-10-01 03:45:00',
               '2016-10-01 04:00:00', '2016-10-01 04:15:00',
               '2016-10-01 04:30:00', '2016-10-01 04:45:00',
               '2016-10-01 05:00:00', '2016-10-01 05:15:00',
               '2016-10-01 05:30:00', '2016-10-01 05:45:00',
               '2016-10-01 06:00:00', '2016-10-01 06:15:00',
               '2016-10-01 06:30:00', '2016-10-01 06:45:00',
               '2016-10-01 07:00:00', '2016-10-01 07:15:00',
               '2016-10-01 07:30:00', '2016-10-01 07:45:00',
               '2016-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 8.33, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-11-16 00:45:00', '2016-11-16 01:00:00',
               '2016-11-16 01:15:00', '2016-11-16 01:30:00',
               '2016-11-16 01:45:00', '2016-11-16 02:00:00',
               '2016-11-16 02:15:00', '2016-11-16 02:30:00',
               '2016-11-16 02:45:00', '2016-11-16 03:00:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1434, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               ...
               '2016-11-07 18:00:00', '2016-11-07 18:15:00',
               '2016-11-07 18:30:00', '2016-11-07 18:45:00',
               '2016-11-07 19:00:00', '2016-11-07 19:15:00',
               '2016-11-07 19:30:00', '2016-11-07 19:45:00',
               '2016-11-07 20:00:00', '2016-11-07 20:15:00'],
              dtype='datetime64[ns]', length=366, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-11-16 16:00:00', '2016-11-16 16:15:00',
               '2016-11-16 16:30:00', '2016-11-16 16:45:00',
               '2016-11-16 17:00:00', '2016-11-16 17:15:00',
               '2016-11-16 17:30:00', '2016-11-16 17:45:00',
               '2016-11-16 18:00:00', '2016-11-16 18:15:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1373, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=186, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=546, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-11-20 08:00:00', '2016-11-20 08:15:00',
               '2016-11-20 08:30:00', '2016-11-20 08:45:00',
               '2016-11-20 09:00:00', '2016-11-20 09:15:00',
               '2016-11-20 09:30:00', '2016-11-20 09:45:00',
               '2016-11-20 10:00:00', '2016-11-20 10:15:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1021, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=159, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2877, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-11-1T00 to 2016-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-11-16 05:00:00', '2016-11-16 05:15:00',
               '2016-11-16 05:30:00', '2016-11-16 05:45:00',
               '2016-11-16 06:00:00', '2016-11-16 06:15:00',
               '2016-11-16 06:30:00', '2016-11-16 06:45:00',
               '2016-11-16 07:00:00', '2016-11-16 07:15:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1417, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               ...
               '2016-11-08 19:30:00', '2016-11-08 19:45:00',
               '2016-11-08 20:00:00', '2016-11-08 20:15:00',
               '2016-11-08 20:30:00', '2016-11-08 20:45:00',
               '2016-11-08 21:00:00', '2016-11-08 21:15:00',
               '2016-11-08 21:30:00', '2016-11-08 21:45:00'],
              dtype='datetime64[ns]', length=443, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00', '2016-11-06 08:00:00',
               '2016-11-06 08:15:00', '2016-11-06 08:30:00',
               '2016-11-06 08:45:00', '2016-11-06 09:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-11-21 09:30:00', '2016-11-21 09:45:00',
               '2016-11-21 10:00:00', '2016-11-21 10:15:00',
               '2016-11-21 10:30:00', '2016-11-21 10:45:00',
               '2016-11-21 11:00:00', '2016-11-21 11:15:00',
               '2016-11-21 11:30:00', '2016-11-21 11:45:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=919, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2016-11-21 09:30:00', '2016-11-21 09:45:00',
               '2016-11-21 10:00:00', '2016-11-21 10:15:00',
               '2016-11-21 10:30:00', '2016-11-21 10:45:00',
               '2016-11-21 11:00:00', '2016-11-21 11:15:00',
               '2016-11-21 11:30:00', '2016-11-21 11:45:00',
               ...
               '2016-11-30 20:45:00', '2016-11-30 21:00:00',
               '2016-11-30 21:15:00', '2016-11-30 21:30:00',
               '2016-11-30 21:45:00', '2016-11-30 22:00:00',
               '2016-11-30 22:15:00', '2016-11-30 22:30:00',
               '2016-11-30 22:45:00', '2016-11-30 23:00:00'],
              dtype='datetime64[ns]', length=919, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-11-1T00 to 2016-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-11-01 00:00:00', '2016-11-01 00:15:00',
               '2016-11-01 00:30:00', '2016-11-01 00:45:00',
               '2016-11-01 01:00:00', '2016-11-01 01:15:00',
               '2016-11-01 01:30:00', '2016-11-01 01:45:00',
               '2016-11-01 02:00:00', '2016-11-01 02:15:00',
               '2016-11-01 02:30:00', '2016-11-01 02:45:00',
               '2016-11-01 03:00:00', '2016-11-01 03:15:00',
               '2016-11-01 03:30:00', '2016-11-01 03:45:00',
               '2016-11-01 04:00:00', '2016-11-01 04:15:00',
               '2016-11-01 04:30:00', '2016-11-01 04:45:00',
               '2016-11-01 05:00:00', '2016-11-01 05:15:00',
               '2016-11-01 05:30:00', '2016-11-01 05:45:00',
               '2016-11-01 06:00:00', '2016-11-01 06:15:00',
               '2016-11-01 06:30:00', '2016-11-01 06:45:00',
               '2016-11-01 07:00:00', '2016-11-01 07:15:00',
               '2016-11-01 07:30:00', '2016-11-01 07:45:00',
               '2016-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 8.51, max INDEP value is 7.15
{L:293} Some estimated discharge values from gage data were capped at twice the rating curve max.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-31 20:45:00', '2016-12-31 21:00:00',
               '2016-12-31 21:15:00', '2016-12-31 21:30:00',
               '2016-12-31 21:45:00', '2016-12-31 22:00:00',
               '2016-12-31 22:15:00', '2016-12-31 22:30:00',
               '2016-12-31 22:45:00', '2016-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-31 20:45:00', '2016-12-31 21:00:00',
               '2016-12-31 21:15:00', '2016-12-31 21:30:00',
               '2016-12-31 21:45:00', '2016-12-31 22:00:00',
               '2016-12-31 22:15:00', '2016-12-31 22:30:00',
               '2016-12-31 22:45:00', '2016-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-31 20:45:00', '2016-12-31 21:00:00',
               '2016-12-31 21:15:00', '2016-12-31 21:30:00',
               '2016-12-31 21:45:00', '2016-12-31 22:00:00',
               '2016-12-31 22:15:00', '2016-12-31 22:30:00',
               '2016-12-31 22:45:00', '2016-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-12-03 14:45:00', '2016-12-03 15:00:00',
               '2016-12-03 15:15:00', '2016-12-03 15:30:00',
               '2016-12-03 15:45:00', '2016-12-03 16:00:00',
               '2016-12-03 16:15:00', '2016-12-03 16:30:00',
               '2016-12-03 16:45:00', '2016-12-03 17:00:00',
               ...
               '2016-12-14 15:45:00', '2016-12-14 16:00:00',
               '2016-12-14 16:15:00', '2016-12-14 16:30:00',
               '2016-12-14 16:45:00', '2016-12-14 17:00:00',
               '2016-12-14 17:15:00', '2016-12-14 17:30:00',
               '2016-12-14 17:45:00', '2016-12-14 18:00:00'],
              dtype='datetime64[ns]', length=1070, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-30 06:15:00', '2016-12-30 06:30:00',
               '2016-12-30 06:45:00', '2016-12-30 07:00:00',
               '2016-12-30 07:15:00', '2016-12-30 07:30:00',
               '2016-12-30 07:45:00', '2016-12-30 08:00:00',
               '2016-12-30 08:15:00', '2016-12-30 08:30:00'],
              dtype='datetime64[ns]', length=709, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-31 20:45:00', '2016-12-31 21:00:00',
               '2016-12-31 21:15:00', '2016-12-31 21:30:00',
               '2016-12-31 21:45:00', '2016-12-31 22:00:00',
               '2016-12-31 22:15:00', '2016-12-31 22:30:00',
               '2016-12-31 22:45:00', '2016-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-12-04 14:00:00', '2016-12-04 14:15:00',
               '2016-12-04 14:30:00', '2016-12-04 14:45:00',
               '2016-12-04 15:00:00', '2016-12-04 15:15:00',
               '2016-12-04 15:30:00', '2016-12-04 15:45:00',
               '2016-12-04 16:00:00', '2016-12-04 16:15:00',
               ...
               '2016-12-31 20:45:00', '2016-12-31 21:00:00',
               '2016-12-31 21:15:00', '2016-12-31 21:30:00',
               '2016-12-31 21:45:00', '2016-12-31 22:00:00',
               '2016-12-31 22:15:00', '2016-12-31 22:30:00',
               '2016-12-31 22:45:00', '2016-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2629, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-02 02:45:00', '2016-12-02 03:00:00',
               '2016-12-02 03:15:00', '2016-12-02 03:30:00',
               '2016-12-02 03:45:00', '2016-12-02 04:00:00',
               '2016-12-02 04:15:00', '2016-12-02 04:30:00',
               '2016-12-02 04:45:00', '2016-12-02 05:00:00'],
              dtype='datetime64[ns]', length=117, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-31 20:45:00', '2016-12-31 21:00:00',
               '2016-12-31 21:15:00', '2016-12-31 21:30:00',
               '2016-12-31 21:45:00', '2016-12-31 22:00:00',
               '2016-12-31 22:15:00', '2016-12-31 22:30:00',
               '2016-12-31 22:45:00', '2016-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2016-12-1T00 to 2016-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               ...
               '2016-12-31 20:45:00', '2016-12-31 21:00:00',
               '2016-12-31 21:15:00', '2016-12-31 21:30:00',
               '2016-12-31 21:45:00', '2016-12-31 22:00:00',
               '2016-12-31 22:15:00', '2016-12-31 22:30:00',
               '2016-12-31 22:45:00', '2016-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2016-12-1T00 to 2016-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2016-12-01 00:00:00', '2016-12-01 00:15:00',
               '2016-12-01 00:30:00', '2016-12-01 00:45:00',
               '2016-12-01 01:00:00', '2016-12-01 01:15:00',
               '2016-12-01 01:30:00', '2016-12-01 01:45:00',
               '2016-12-01 02:00:00', '2016-12-01 02:15:00',
               '2016-12-01 02:30:00', '2016-12-01 02:45:00',
               '2016-12-01 03:00:00', '2016-12-01 03:15:00',
               '2016-12-01 03:30:00', '2016-12-01 03:45:00',
               '2016-12-01 04:00:00', '2016-12-01 04:15:00',
               '2016-12-01 04:30:00', '2016-12-01 04:45:00',
               '2016-12-01 05:00:00', '2016-12-01 05:15:00',
               '2016-12-01 05:30:00', '2016-12-01 05:45:00',
               '2016-12-01 06:00:00', '2016-12-01 06:15:00',
               '2016-12-01 06:30:00', '2016-12-01 06:45:00',
               '2016-12-01 07:00:00', '2016-12-01 07:15:00',
               '2016-12-01 07:30:00', '2016-12-01 07:45:00',
               '2016-12-01 08:00:00', '2016-12-01 08:15:00',
               '2016-12-01 08:30:00', '2016-12-01 08:45:00',
               '2016-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2017

year = 2017
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               ...
               '2017-01-31 20:45:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               ...
               '2017-01-31 20:45:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               ...
               '2017-01-31 20:45:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00', '2017-01-14 21:30:00',
               '2017-01-14 21:45:00', '2017-01-14 22:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-02 03:45:00', '2017-01-02 04:00:00',
               '2017-01-02 04:15:00', '2017-01-02 04:30:00',
               '2017-01-02 04:45:00', '2017-01-02 05:00:00',
               '2017-01-02 05:15:00', '2017-01-02 05:30:00',
               '2017-01-02 05:45:00', '2017-01-02 06:00:00',
               ...
               '2017-01-30 14:00:00', '2017-01-30 14:15:00',
               '2017-01-30 14:30:00', '2017-01-30 14:45:00',
               '2017-01-30 15:00:00', '2017-01-30 15:15:00',
               '2017-01-30 15:30:00', '2017-01-30 15:45:00',
               '2017-01-30 16:00:00', '2017-01-30 16:15:00'],
              dtype='datetime64[ns]', length=2739, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               ...
               '2017-01-31 20:45:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               ...
               '2017-01-31 20:45:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               ...
               '2017-01-31 20:45:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-1-1T00 to 2017-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               ...
               '2017-01-31 20:45:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-12 14:00:00', '2017-01-12 14:15:00',
               '2017-01-12 14:30:00', '2017-01-12 14:45:00',
               '2017-01-12 15:00:00', '2017-01-12 15:15:00',
               '2017-01-12 15:30:00', '2017-01-12 15:45:00',
               '2017-01-12 16:00:00', '2017-01-12 16:15:00',
               ...
               '2017-01-28 18:15:00', '2017-01-28 18:30:00',
               '2017-01-28 18:45:00', '2017-01-28 19:00:00',
               '2017-01-28 19:15:00', '2017-01-28 19:30:00',
               '2017-01-28 19:45:00', '2017-01-28 20:00:00',
               '2017-01-28 20:15:00', '2017-01-28 20:30:00'],
              dtype='datetime64[ns]', length=1563, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00', '2017-01-12 09:00:00',
               '2017-01-12 09:15:00', '2017-01-12 09:30:00',
               '2017-01-12 12:45:00', '2017-01-12 13:00:00',
               '2017-01-12 13:15:00', '2017-01-12 13:30:00',
               '2017-01-12 13:45:00', '2017-01-28 21:15:00',
               '2017-01-28 21:30:00', '2017-01-28 21:45:00',
               '2017-01-28 22:00:00', '2017-01-28 22:15:00',
               '2017-01-28 22:30:00', '2017-01-28 22:45:00',
               '2017-01-28 23:00:00', '2017-01-28 23:15:00',
               '2017-01-28 23:30:00', '2017-01-28 23:45:00',
               '2017-01-29 00:30:00', '2017-01-29 00:45:00',
               '2017-01-29 01:00:00', '2017-01-29 01:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00', '2017-01-25 21:45:00',
               '2017-01-25 22:00:00', '2017-01-25 22:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00', '2017-01-14 21:30:00',
               '2017-01-14 21:45:00', '2017-01-14 22:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00', '2017-01-31 21:00:00',
               '2017-01-31 21:15:00', '2017-01-31 21:30:00',
               '2017-01-31 21:45:00', '2017-01-31 22:00:00',
               '2017-01-31 22:15:00', '2017-01-31 22:30:00',
               '2017-01-31 22:45:00', '2017-01-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-12 14:00:00', '2017-01-12 14:15:00',
               '2017-01-12 14:30:00', '2017-01-12 14:45:00',
               '2017-01-12 15:00:00', '2017-01-12 15:15:00',
               '2017-01-12 15:30:00', '2017-01-12 15:45:00',
               '2017-01-12 16:00:00', '2017-01-12 16:15:00',
               ...
               '2017-01-28 18:15:00', '2017-01-28 18:30:00',
               '2017-01-28 18:45:00', '2017-01-28 19:00:00',
               '2017-01-28 19:15:00', '2017-01-28 19:30:00',
               '2017-01-28 19:45:00', '2017-01-28 20:00:00',
               '2017-01-28 20:15:00', '2017-01-28 20:30:00'],
              dtype='datetime64[ns]', length=1563, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00', '2017-01-12 09:00:00',
               '2017-01-12 09:15:00', '2017-01-12 09:30:00',
               '2017-01-12 12:45:00', '2017-01-12 13:00:00',
               '2017-01-12 13:15:00', '2017-01-12 13:30:00',
               '2017-01-12 13:45:00', '2017-01-28 21:15:00',
               '2017-01-28 21:30:00', '2017-01-28 21:45:00',
               '2017-01-28 22:00:00', '2017-01-28 22:15:00',
               '2017-01-28 22:30:00', '2017-01-28 22:45:00',
               '2017-01-28 23:00:00', '2017-01-28 23:15:00',
               '2017-01-28 23:30:00', '2017-01-28 23:45:00',
               '2017-01-29 00:30:00', '2017-01-29 00:45:00',
               '2017-01-29 01:00:00', '2017-01-29 01:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-1-1T00 to 2017-01-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-01-12 14:00:00', '2017-01-12 14:15:00',
               '2017-01-12 14:30:00', '2017-01-12 14:45:00',
               '2017-01-12 15:00:00', '2017-01-12 15:15:00',
               '2017-01-12 15:30:00', '2017-01-12 15:45:00',
               '2017-01-12 16:00:00', '2017-01-12 16:15:00',
               ...
               '2017-01-28 18:15:00', '2017-01-28 18:30:00',
               '2017-01-28 18:45:00', '2017-01-28 19:00:00',
               '2017-01-28 19:15:00', '2017-01-28 19:30:00',
               '2017-01-28 19:45:00', '2017-01-28 20:00:00',
               '2017-01-28 20:15:00', '2017-01-28 20:30:00'],
              dtype='datetime64[ns]', length=1563, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-01-01 00:00:00', '2017-01-01 00:15:00',
               '2017-01-01 00:30:00', '2017-01-01 00:45:00',
               '2017-01-01 01:00:00', '2017-01-01 01:15:00',
               '2017-01-01 01:30:00', '2017-01-01 01:45:00',
               '2017-01-01 02:00:00', '2017-01-01 02:15:00',
               '2017-01-01 02:30:00', '2017-01-01 02:45:00',
               '2017-01-01 03:00:00', '2017-01-01 03:15:00',
               '2017-01-01 03:30:00', '2017-01-01 03:45:00',
               '2017-01-01 04:00:00', '2017-01-01 04:15:00',
               '2017-01-01 04:30:00', '2017-01-01 04:45:00',
               '2017-01-01 05:00:00', '2017-01-01 05:15:00',
               '2017-01-01 05:30:00', '2017-01-01 05:45:00',
               '2017-01-01 06:00:00', '2017-01-01 06:15:00',
               '2017-01-01 06:30:00', '2017-01-01 06:45:00',
               '2017-01-01 07:00:00', '2017-01-01 07:15:00',
               '2017-01-01 07:30:00', '2017-01-01 07:45:00',
               '2017-01-01 08:00:00', '2017-01-01 08:15:00',
               '2017-01-01 08:30:00', '2017-01-01 08:45:00',
               '2017-01-01 09:00:00', '2017-01-12 09:00:00',
               '2017-01-12 09:15:00', '2017-01-12 09:30:00',
               '2017-01-12 12:45:00', '2017-01-12 13:00:00',
               '2017-01-12 13:15:00', '2017-01-12 13:30:00',
               '2017-01-12 13:45:00', '2017-01-28 21:15:00',
               '2017-01-28 21:30:00', '2017-01-28 21:45:00',
               '2017-01-28 22:00:00', '2017-01-28 22:15:00',
               '2017-01-28 22:30:00', '2017-01-28 22:45:00',
               '2017-01-28 23:00:00', '2017-01-28 23:15:00',
               '2017-01-28 23:30:00', '2017-01-28 23:45:00',
               '2017-01-29 00:30:00', '2017-01-29 00:45:00',
               '2017-01-29 01:00:00', '2017-01-29 01:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=1779, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-18 02:30:00', '2017-02-18 02:45:00',
               '2017-02-18 03:00:00', '2017-02-18 03:15:00',
               '2017-02-18 03:30:00', '2017-02-18 03:45:00',
               '2017-02-18 04:00:00', '2017-02-18 04:15:00',
               '2017-02-18 04:30:00', '2017-02-18 04:45:00'],
              dtype='datetime64[ns]', length=1652, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-21 06:30:00', '2017-02-21 06:45:00',
               '2017-02-21 07:00:00', '2017-02-21 07:15:00',
               '2017-02-21 07:30:00', '2017-02-21 07:45:00',
               '2017-02-21 08:00:00', '2017-02-21 08:15:00',
               '2017-02-21 08:30:00', '2017-02-21 08:45:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=373, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-2-1T00 to 2017-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 20:45:00', '2017-02-28 21:00:00',
               '2017-02-28 21:15:00', '2017-02-28 21:30:00',
               '2017-02-28 21:45:00', '2017-02-28 22:00:00',
               '2017-02-28 22:15:00', '2017-02-28 22:30:00',
               '2017-02-28 22:45:00', '2017-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00', '2017-02-21 17:00:00',
               '2017-02-21 17:15:00', '2017-02-21 17:30:00',
               '2017-02-21 17:45:00', '2017-02-25 04:00:00',
               '2017-02-25 04:15:00', '2017-02-25 04:30:00',
               '2017-02-25 04:45:00', '2017-02-25 05:00:00',
               '2017-02-28 13:00:00', '2017-02-28 13:15:00',
               '2017-02-28 13:30:00', '2017-02-28 13:45:00',
               '2017-02-28 14:00:00', '2017-02-28 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00', '2017-02-12 10:45:00',
               '2017-02-12 11:00:00', '2017-02-12 11:15:00',
               '2017-02-12 11:30:00', '2017-02-12 11:45:00',
               '2017-02-12 12:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               ...
               '2017-02-28 18:45:00', '2017-02-28 19:00:00',
               '2017-02-28 19:15:00', '2017-02-28 19:30:00',
               '2017-02-28 19:45:00', '2017-02-28 20:00:00',
               '2017-02-28 20:15:00', '2017-02-28 20:30:00',
               '2017-02-28 20:45:00', '2017-02-28 21:00:00'],
              dtype='datetime64[ns]', length=2677, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00', '2017-02-21 17:00:00',
               '2017-02-21 17:15:00', '2017-02-21 17:30:00',
               '2017-02-21 17:45:00', '2017-02-25 04:00:00',
               '2017-02-25 04:15:00', '2017-02-25 04:30:00',
               '2017-02-25 04:45:00', '2017-02-25 05:00:00',
               '2017-02-28 13:00:00', '2017-02-28 13:15:00',
               '2017-02-28 13:30:00', '2017-02-28 13:45:00',
               '2017-02-28 14:00:00', '2017-02-28 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-2-1T00 to 2017-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-02-01 00:00:00', '2017-02-01 00:15:00',
               '2017-02-01 00:30:00', '2017-02-01 00:45:00',
               '2017-02-01 01:00:00', '2017-02-01 01:15:00',
               '2017-02-01 01:30:00', '2017-02-01 01:45:00',
               '2017-02-01 02:00:00', '2017-02-01 02:15:00',
               '2017-02-01 02:30:00', '2017-02-01 02:45:00',
               '2017-02-01 03:00:00', '2017-02-01 03:15:00',
               '2017-02-01 03:30:00', '2017-02-01 03:45:00',
               '2017-02-01 04:00:00', '2017-02-01 04:15:00',
               '2017-02-01 04:30:00', '2017-02-01 04:45:00',
               '2017-02-01 05:00:00', '2017-02-01 05:15:00',
               '2017-02-01 05:30:00', '2017-02-01 05:45:00',
               '2017-02-01 06:00:00', '2017-02-01 06:15:00',
               '2017-02-01 06:30:00', '2017-02-01 06:45:00',
               '2017-02-01 07:00:00', '2017-02-01 07:15:00',
               '2017-02-01 07:30:00', '2017-02-01 07:45:00',
               '2017-02-01 08:00:00', '2017-02-01 08:15:00',
               '2017-02-01 08:30:00', '2017-02-01 08:45:00',
               '2017-02-01 09:00:00', '2017-02-21 17:00:00',
               '2017-02-21 17:15:00', '2017-02-21 17:30:00',
               '2017-02-21 17:45:00', '2017-02-25 04:00:00',
               '2017-02-25 04:15:00', '2017-02-25 04:30:00',
               '2017-02-25 04:45:00', '2017-02-25 05:00:00',
               '2017-02-28 13:00:00', '2017-02-28 13:15:00',
               '2017-02-28 13:30:00', '2017-02-28 13:45:00',
               '2017-02-28 14:00:00', '2017-02-28 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-06 08:45:00', '2017-03-06 09:00:00',
               '2017-03-06 09:15:00', '2017-03-06 09:30:00',
               '2017-03-06 09:45:00', '2017-03-06 10:00:00',
               '2017-03-06 10:15:00', '2017-03-06 10:30:00',
               '2017-03-06 10:45:00', '2017-03-06 11:00:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2458, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-15 07:00:00', '2017-03-15 07:15:00',
               '2017-03-15 07:30:00', '2017-03-15 07:45:00',
               '2017-03-15 08:00:00', '2017-03-15 08:15:00',
               '2017-03-15 08:30:00', '2017-03-15 08:45:00',
               '2017-03-15 09:00:00', '2017-03-15 09:15:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=1601, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               '2017-03-01 02:30:00', '2017-03-01 02:45:00',
               '2017-03-01 03:00:00', '2017-03-01 03:15:00',
               '2017-03-01 03:30:00', '2017-03-01 03:45:00',
               '2017-03-01 04:00:00', '2017-03-01 04:15:00',
               '2017-03-01 04:30:00', '2017-03-01 04:45:00',
               '2017-03-01 05:00:00', '2017-03-01 05:15:00',
               '2017-03-01 05:30:00', '2017-03-01 05:45:00',
               '2017-03-01 06:00:00', '2017-03-01 06:15:00',
               '2017-03-01 06:30:00', '2017-03-01 06:45:00',
               '2017-03-01 07:00:00', '2017-03-01 07:15:00',
               '2017-03-01 07:30:00', '2017-03-01 07:45:00',
               '2017-03-01 08:00:00', '2017-03-01 08:15:00',
               '2017-03-01 08:30:00', '2017-03-01 08:45:00',
               '2017-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-29 05:30:00', '2017-03-29 05:45:00',
               '2017-03-29 06:00:00', '2017-03-29 06:15:00',
               '2017-03-29 06:30:00', '2017-03-29 06:45:00',
               '2017-03-29 07:00:00', '2017-03-29 07:15:00',
               '2017-03-29 07:30:00', '2017-03-29 07:45:00'],
              dtype='datetime64[ns]', length=2720, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-29 12:00:00', '2017-03-29 12:15:00',
               '2017-03-29 12:30:00', '2017-03-29 12:45:00',
               '2017-03-29 13:00:00', '2017-03-29 13:15:00',
               '2017-03-29 13:30:00', '2017-03-29 13:45:00',
               '2017-03-30 00:30:00', '2017-03-30 00:45:00',
               '2017-03-30 01:00:00', '2017-03-30 01:15:00',
               '2017-03-30 01:30:00', '2017-03-30 12:30:00',
               '2017-03-30 12:45:00', '2017-03-30 13:00:00',
               '2017-03-30 13:15:00', '2017-03-30 13:30:00',
               '2017-03-30 13:45:00', '2017-03-30 14:00:00',
               '2017-03-30 14:15:00', '2017-03-30 14:30:00',
               '2017-03-30 14:45:00', '2017-03-31 01:45:00',
               '2017-03-31 02:00:00', '2017-03-31 02:15:00',
               '2017-03-31 02:30:00', '2017-03-31 13:00:00',
               '2017-03-31 13:15:00', '2017-03-31 13:30:00',
               '2017-03-31 13:45:00', '2017-03-31 14:00:00',
               '2017-03-31 14:15:00', '2017-03-31 14:30:00',
               '2017-03-31 14:45:00', '2017-03-31 15:00:00',
               '2017-03-31 15:15:00', '2017-03-31 15:30:00',
               '2017-03-31 15:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-31 12:45:00', '2017-03-31 13:00:00',
               '2017-03-31 13:15:00', '2017-03-31 13:30:00',
               '2017-03-31 13:45:00', '2017-03-31 14:00:00',
               '2017-03-31 14:15:00', '2017-03-31 14:30:00',
               '2017-03-31 14:45:00', '2017-03-31 15:00:00'],
              dtype='datetime64[ns]', length=2941, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-21 06:45:00', '2017-03-21 07:00:00',
               '2017-03-21 07:15:00', '2017-03-21 07:30:00',
               '2017-03-21 07:45:00', '2017-03-21 08:00:00',
               '2017-03-21 08:15:00', '2017-03-21 08:30:00',
               '2017-03-21 08:45:00', '2017-03-21 09:00:00'],
              dtype='datetime64[ns]', length=1957, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-21 09:15:00', '2017-03-21 09:30:00',
               '2017-03-21 09:45:00', '2017-03-21 10:00:00',
               '2017-03-21 10:15:00', '2017-03-21 10:30:00',
               '2017-03-21 10:45:00', '2017-03-21 11:00:00',
               '2017-03-21 11:15:00', '2017-03-21 11:30:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=1016, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-3-1T00 to 2017-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-27 23:15:00', '2017-03-27 23:30:00',
               '2017-03-27 23:45:00', '2017-03-28 01:00:00',
               '2017-03-28 01:15:00', '2017-03-28 01:30:00',
               '2017-03-28 01:45:00', '2017-03-28 02:00:00',
               '2017-03-28 02:15:00', '2017-03-28 02:30:00'],
              dtype='datetime64[ns]', length=1670, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-03-05 06:45:00', '2017-03-05 07:00:00',
               '2017-03-05 07:15:00', '2017-03-05 07:30:00',
               '2017-03-05 07:45:00', '2017-03-05 08:00:00',
               '2017-03-05 08:15:00', '2017-03-05 08:30:00',
               '2017-03-05 08:45:00', '2017-03-05 09:00:00',
               ...
               '2017-03-31 20:45:00', '2017-03-31 21:00:00',
               '2017-03-31 21:15:00', '2017-03-31 21:30:00',
               '2017-03-31 21:45:00', '2017-03-31 22:00:00',
               '2017-03-31 22:15:00', '2017-03-31 22:30:00',
               '2017-03-31 22:45:00', '2017-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2562, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               '2017-03-01 02:30:00', '2017-03-01 02:45:00',
               '2017-03-01 03:00:00', '2017-03-01 03:15:00',
               '2017-03-01 03:30:00', '2017-03-01 03:45:00',
               '2017-03-01 04:00:00', '2017-03-01 04:15:00',
               '2017-03-01 04:30:00', '2017-03-01 04:45:00',
               '2017-03-01 05:00:00', '2017-03-01 05:15:00',
               '2017-03-01 05:30:00', '2017-03-01 05:45:00',
               '2017-03-01 06:00:00', '2017-03-01 06:15:00',
               '2017-03-01 06:30:00', '2017-03-01 06:45:00',
               '2017-03-01 07:00:00', '2017-03-01 07:15:00',
               '2017-03-01 07:30:00', '2017-03-01 07:45:00',
               '2017-03-01 08:00:00', '2017-03-01 08:15:00',
               '2017-03-01 08:30:00', '2017-03-01 08:45:00',
               '2017-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               '2017-03-01 02:30:00', '2017-03-01 02:45:00',
               '2017-03-01 03:00:00', '2017-03-01 03:15:00',
               '2017-03-01 03:30:00', '2017-03-01 03:45:00',
               '2017-03-01 04:00:00', '2017-03-01 04:15:00',
               '2017-03-01 04:30:00', '2017-03-01 04:45:00',
               '2017-03-01 05:00:00', '2017-03-01 05:15:00',
               '2017-03-01 05:30:00', '2017-03-01 05:45:00',
               '2017-03-01 06:00:00', '2017-03-01 06:15:00',
               '2017-03-01 06:30:00', '2017-03-01 06:45:00',
               '2017-03-01 07:00:00', '2017-03-01 07:15:00',
               '2017-03-01 07:30:00', '2017-03-01 07:45:00',
               '2017-03-01 08:00:00', '2017-03-01 08:15:00',
               '2017-03-01 08:30:00', '2017-03-01 08:45:00',
               '2017-03-01 09:00:00', '2017-03-15 05:30:00',
               '2017-03-15 05:45:00', '2017-03-15 06:00:00',
               '2017-03-15 06:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               '2017-03-01 02:30:00', '2017-03-01 02:45:00',
               '2017-03-01 03:00:00', '2017-03-01 03:15:00',
               '2017-03-01 03:30:00', '2017-03-01 03:45:00',
               '2017-03-01 04:00:00', '2017-03-01 04:15:00',
               '2017-03-01 04:30:00', '2017-03-01 04:45:00',
               '2017-03-01 05:00:00', '2017-03-01 05:15:00',
               '2017-03-01 05:30:00', '2017-03-01 05:45:00',
               '2017-03-01 06:00:00', '2017-03-01 06:15:00',
               '2017-03-01 06:30:00', '2017-03-01 06:45:00',
               '2017-03-01 07:00:00', '2017-03-01 07:15:00',
               '2017-03-01 07:30:00', '2017-03-01 07:45:00',
               '2017-03-01 08:00:00', '2017-03-01 08:15:00',
               '2017-03-01 08:30:00', '2017-03-01 08:45:00',
               '2017-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               '2017-03-01 02:30:00', '2017-03-01 02:45:00',
               '2017-03-01 03:00:00', '2017-03-01 03:15:00',
               '2017-03-01 03:30:00', '2017-03-01 03:45:00',
               '2017-03-01 04:00:00', '2017-03-01 04:15:00',
               '2017-03-01 04:30:00', '2017-03-01 04:45:00',
               '2017-03-01 05:00:00', '2017-03-01 05:15:00',
               '2017-03-01 05:30:00', '2017-03-01 05:45:00',
               '2017-03-01 06:00:00', '2017-03-01 06:15:00',
               '2017-03-01 06:30:00', '2017-03-01 06:45:00',
               '2017-03-01 07:00:00', '2017-03-01 07:15:00',
               '2017-03-01 07:30:00', '2017-03-01 07:45:00',
               '2017-03-01 08:00:00', '2017-03-01 08:15:00',
               '2017-03-01 08:30:00', '2017-03-01 08:45:00',
               '2017-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-27 23:15:00', '2017-03-27 23:30:00',
               '2017-03-27 23:45:00', '2017-03-28 01:00:00',
               '2017-03-28 01:15:00', '2017-03-28 01:30:00',
               '2017-03-28 01:45:00', '2017-03-28 02:00:00',
               '2017-03-28 02:15:00', '2017-03-28 02:30:00'],
              dtype='datetime64[ns]', length=1670, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               '2017-03-01 02:30:00', '2017-03-01 02:45:00',
               '2017-03-01 03:00:00', '2017-03-01 03:15:00',
               '2017-03-01 03:30:00', '2017-03-01 03:45:00',
               '2017-03-01 04:00:00', '2017-03-01 04:15:00',
               '2017-03-01 04:30:00', '2017-03-01 04:45:00',
               '2017-03-01 05:00:00', '2017-03-01 05:15:00',
               '2017-03-01 05:30:00', '2017-03-01 05:45:00',
               '2017-03-01 06:00:00', '2017-03-01 06:15:00',
               '2017-03-01 06:30:00', '2017-03-01 06:45:00',
               '2017-03-01 07:00:00', '2017-03-01 07:15:00',
               '2017-03-01 07:30:00', '2017-03-01 07:45:00',
               '2017-03-01 08:00:00', '2017-03-01 08:15:00',
               '2017-03-01 08:30:00', '2017-03-01 08:45:00',
               '2017-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-3-1T00 to 2017-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-03-01 00:00:00', '2017-03-01 00:15:00',
               '2017-03-01 00:30:00', '2017-03-01 00:45:00',
               '2017-03-01 01:00:00', '2017-03-01 01:15:00',
               '2017-03-01 01:30:00', '2017-03-01 01:45:00',
               '2017-03-01 02:00:00', '2017-03-01 02:15:00',
               ...
               '2017-03-27 23:15:00', '2017-03-27 23:30:00',
               '2017-03-27 23:45:00', '2017-03-28 01:00:00',
               '2017-03-28 01:15:00', '2017-03-28 01:30:00',
               '2017-03-28 01:45:00', '2017-03-28 02:00:00',
               '2017-03-28 02:15:00', '2017-03-28 02:30:00'],
              dtype='datetime64[ns]', length=1670, freq=None).
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-11 17:45:00', '2017-04-11 18:00:00',
               '2017-04-11 18:15:00', '2017-04-11 18:30:00',
               '2017-04-11 18:45:00', '2017-04-11 19:00:00',
               '2017-04-11 19:15:00', '2017-04-11 19:30:00',
               '2017-04-11 19:45:00', '2017-04-11 20:00:00'],
              dtype='datetime64[ns]', length=1041, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-18 08:45:00', '2017-04-18 09:00:00',
               '2017-04-23 18:15:00', '2017-04-23 18:30:00',
               '2017-04-23 18:45:00', '2017-04-23 19:00:00',
               '2017-04-23 19:15:00', '2017-04-26 03:45:00',
               '2017-04-26 04:00:00', '2017-04-26 04:15:00'],
              dtype='datetime64[ns]', length=592, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-04 04:30:00', '2017-04-04 04:45:00',
               '2017-04-04 05:00:00', '2017-04-04 05:15:00',
               '2017-04-04 05:30:00', '2017-04-04 05:45:00',
               '2017-04-04 06:00:00', '2017-04-04 06:15:00',
               '2017-04-04 06:30:00', '2017-04-04 06:45:00'],
              dtype='datetime64[ns]', length=316, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-10 13:00:00', '2017-04-10 13:15:00',
               '2017-04-10 13:30:00', '2017-04-10 13:45:00',
               '2017-04-10 14:00:00', '2017-04-10 14:15:00',
               '2017-04-10 14:30:00', '2017-04-10 14:45:00',
               '2017-04-10 15:00:00', '2017-04-10 15:15:00'],
              dtype='datetime64[ns]', length=926, freq='15T').
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-04 04:30:00', '2017-04-04 04:45:00',
               '2017-04-04 05:00:00', '2017-04-04 05:15:00',
               '2017-04-04 05:30:00', '2017-04-04 05:45:00',
               '2017-04-04 06:00:00', '2017-04-04 06:15:00',
               '2017-04-04 06:30:00', '2017-04-04 06:45:00'],
              dtype='datetime64[ns]', length=316, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-16 01:30:00', '2017-04-16 01:45:00',
               '2017-04-16 02:00:00', '2017-04-16 02:15:00',
               '2017-04-16 02:30:00', '2017-04-16 02:45:00',
               '2017-04-16 03:00:00', '2017-04-16 03:15:00',
               '2017-04-16 03:30:00', '2017-04-16 03:45:00'],
              dtype='datetime64[ns]', length=1456, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-16 13:30:00', '2017-04-16 13:45:00',
               '2017-04-16 14:00:00', '2017-04-16 14:15:00',
               '2017-04-16 14:30:00', '2017-04-16 14:45:00',
               '2017-04-16 15:00:00', '2017-04-16 15:15:00',
               '2017-04-16 15:30:00', '2017-04-16 15:45:00'],
              dtype='datetime64[ns]', length=1504, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-17 18:00:00', '2017-04-17 18:15:00',
               '2017-04-17 18:30:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00', '2017-04-01 14:00:00',
               '2017-04-01 14:15:00', '2017-04-01 14:30:00',
               '2017-04-01 14:45:00', '2017-04-01 15:00:00',
               '2017-04-01 15:15:00', '2017-04-26 00:15:00',
               '2017-04-26 00:30:00', '2017-04-26 00:45:00',
               '2017-04-26 01:00:00', '2017-04-26 01:15:00',
               '2017-04-26 01:30:00', '2017-04-26 01:45:00',
               '2017-04-26 02:00:00', '2017-04-26 02:15:00',
               '2017-04-26 02:30:00', '2017-04-26 10:15:00',
               '2017-04-26 10:30:00', '2017-04-26 10:45:00',
               '2017-04-26 11:00:00', '2017-04-26 11:15:00',
               '2017-04-26 11:30:00', '2017-04-26 11:45:00',
               '2017-04-26 12:00:00', '2017-04-26 12:15:00',
               '2017-04-26 12:30:00', '2017-04-27 10:45:00',
               '2017-04-27 11:00:00', '2017-04-27 11:15:00',
               '2017-04-27 11:30:00', '2017-04-27 11:45:00',
               '2017-04-27 12:00:00', '2017-04-27 12:15:00',
               '2017-04-27 12:30:00', '2017-04-27 12:45:00',
               '2017-04-27 13:00:00', '2017-04-27 13:15:00',
               '2017-04-27 13:30:00', '2017-04-28 11:30:00',
               '2017-04-28 11:45:00', '2017-04-28 12:00:00',
               '2017-04-28 12:15:00', '2017-04-28 12:30:00',
               '2017-04-28 12:45:00', '2017-04-28 13:00:00',
               '2017-04-28 13:15:00', '2017-04-28 13:30:00',
               '2017-04-28 13:45:00', '2017-04-28 14:00:00',
               '2017-04-28 18:45:00', '2017-04-28 19:00:00',
               '2017-04-28 19:15:00', '2017-04-28 20:00:00',
               '2017-04-28 20:15:00', '2017-04-28 20:30:00',
               '2017-04-28 20:45:00', '2017-04-29 12:15:00',
               '2017-04-29 12:30:00', '2017-04-29 12:45:00',
               '2017-04-29 13:00:00', '2017-04-29 13:15:00',
               '2017-04-29 13:30:00', '2017-04-29 13:45:00',
               '2017-04-29 14:00:00', '2017-04-29 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00', '2017-04-02 14:00:00',
               '2017-04-02 14:15:00', '2017-04-02 14:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-21 00:15:00', '2017-04-21 00:30:00',
               '2017-04-21 00:45:00', '2017-04-21 01:00:00',
               '2017-04-21 01:15:00', '2017-04-21 01:30:00',
               '2017-04-21 01:45:00', '2017-04-21 02:00:00',
               '2017-04-21 02:15:00', '2017-04-21 02:30:00'],
              dtype='datetime64[ns]', length=1931, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-26 02:15:00', '2017-04-26 02:30:00',
               '2017-04-26 02:45:00', '2017-04-26 03:00:00',
               '2017-04-26 03:15:00', '2017-04-26 03:30:00',
               '2017-04-26 03:45:00', '2017-04-26 04:00:00',
               '2017-04-26 04:15:00', '2017-04-26 04:30:00'],
              dtype='datetime64[ns]', length=2419, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-29 12:00:00', '2017-04-29 12:15:00',
               '2017-04-29 12:30:00', '2017-04-29 12:45:00',
               '2017-04-29 13:00:00', '2017-04-29 13:15:00',
               '2017-04-29 13:30:00', '2017-04-29 13:45:00',
               '2017-04-29 14:00:00', '2017-04-29 14:15:00'],
              dtype='datetime64[ns]', length=2746, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-30 20:45:00', '2017-04-30 21:00:00',
               '2017-04-30 21:15:00', '2017-04-30 21:30:00',
               '2017-04-30 21:45:00', '2017-04-30 22:00:00',
               '2017-04-30 22:15:00', '2017-04-30 22:30:00',
               '2017-04-30 22:45:00', '2017-04-30 23:00:00'],
              dtype='datetime64[ns]', length=2877, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-4-1T00 to 2017-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-17 17:45:00', '2017-04-17 18:00:00',
               '2017-04-17 18:15:00', '2017-04-17 18:30:00',
               '2017-04-17 18:45:00', '2017-04-17 19:00:00',
               '2017-04-17 19:15:00', '2017-04-17 19:30:00',
               '2017-04-17 19:45:00', '2017-04-17 20:00:00'],
              dtype='datetime64[ns]', length=1617, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-03 22:00:00', '2017-04-03 22:15:00',
               '2017-04-03 22:30:00', '2017-04-03 22:45:00',
               '2017-04-03 23:00:00', '2017-04-03 23:15:00',
               '2017-04-03 23:30:00', '2017-04-03 23:45:00',
               '2017-04-04 00:00:00', '2017-04-04 00:15:00'],
              dtype='datetime64[ns]', length=290, freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               ...
               '2017-04-26 18:45:00', '2017-04-26 19:00:00',
               '2017-04-26 19:15:00', '2017-04-26 19:30:00',
               '2017-04-28 18:45:00', '2017-04-28 19:00:00',
               '2017-04-28 19:15:00', '2017-04-28 20:00:00',
               '2017-04-28 20:15:00', '2017-04-28 20:30:00'],
              dtype='datetime64[ns]', length=117, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-4-1T00 to 2017-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-04-01 00:00:00', '2017-04-01 00:15:00',
               '2017-04-01 00:30:00', '2017-04-01 00:45:00',
               '2017-04-01 01:00:00', '2017-04-01 01:15:00',
               '2017-04-01 01:30:00', '2017-04-01 01:45:00',
               '2017-04-01 02:00:00', '2017-04-01 02:15:00',
               '2017-04-01 02:30:00', '2017-04-01 02:45:00',
               '2017-04-01 03:00:00', '2017-04-01 03:15:00',
               '2017-04-01 03:30:00', '2017-04-01 03:45:00',
               '2017-04-01 04:00:00', '2017-04-01 04:15:00',
               '2017-04-01 04:30:00', '2017-04-01 04:45:00',
               '2017-04-01 05:00:00', '2017-04-01 05:15:00',
               '2017-04-01 05:30:00', '2017-04-01 05:45:00',
               '2017-04-01 06:00:00', '2017-04-01 06:15:00',
               '2017-04-01 06:30:00', '2017-04-01 06:45:00',
               '2017-04-01 07:00:00', '2017-04-01 07:15:00',
               '2017-04-01 07:30:00', '2017-04-01 07:45:00',
               '2017-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00', '2017-05-20 13:00:00',
               '2017-05-20 13:15:00', '2017-05-20 13:30:00',
               '2017-05-20 13:45:00', '2017-05-20 14:00:00',
               '2017-05-20 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00', '2017-05-25 10:15:00',
               '2017-05-25 10:30:00', '2017-05-25 10:45:00',
               '2017-05-25 11:00:00', '2017-05-25 11:15:00',
               '2017-05-25 11:30:00', '2017-05-25 11:45:00',
               '2017-05-26 10:30:00', '2017-05-26 10:45:00',
               '2017-05-26 11:00:00', '2017-05-26 11:15:00',
               '2017-05-26 11:30:00', '2017-05-26 11:45:00',
               '2017-05-26 12:00:00', '2017-05-26 12:15:00',
               '2017-05-26 12:30:00', '2017-05-26 12:45:00',
               '2017-05-27 11:15:00', '2017-05-27 11:30:00',
               '2017-05-27 11:45:00', '2017-05-27 12:00:00',
               '2017-05-27 12:15:00', '2017-05-27 12:30:00',
               '2017-05-27 12:45:00', '2017-05-27 13:00:00',
               '2017-05-27 13:15:00', '2017-05-27 13:30:00',
               '2017-05-28 12:15:00', '2017-05-28 12:30:00',
               '2017-05-28 12:45:00', '2017-05-28 13:00:00',
               '2017-05-28 13:15:00', '2017-05-28 13:30:00',
               '2017-05-28 13:45:00', '2017-05-28 14:00:00',
               '2017-05-28 14:15:00', '2017-05-28 14:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00', '2017-05-04 18:00:00',
               '2017-05-04 18:15:00', '2017-05-04 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               ...
               '2017-05-19 02:00:00', '2017-05-19 02:15:00',
               '2017-05-19 02:30:00', '2017-05-19 02:45:00',
               '2017-05-19 03:00:00', '2017-05-19 03:15:00',
               '2017-05-19 03:30:00', '2017-05-19 03:45:00',
               '2017-05-19 04:00:00', '2017-05-19 04:15:00'],
              dtype='datetime64[ns]', length=321, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-5-1T00 to 2017-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00', '2017-05-11 19:45:00',
               '2017-05-11 20:00:00', '2017-05-11 20:15:00',
               '2017-05-11 20:30:00', '2017-05-11 20:45:00',
               '2017-05-11 21:00:00', '2017-05-11 21:15:00',
               '2017-05-14 01:00:00', '2017-05-14 01:15:00',
               '2017-05-14 01:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00', '2017-05-01 08:15:00',
               '2017-05-01 08:30:00', '2017-05-01 08:45:00',
               '2017-05-01 09:00:00', '2017-05-01 09:15:00',
               '2017-05-01 09:30:00', '2017-05-01 09:45:00',
               '2017-05-01 10:00:00', '2017-05-01 10:15:00',
               '2017-05-01 10:30:00', '2017-05-01 10:45:00',
               '2017-05-01 11:00:00', '2017-05-01 11:15:00',
               '2017-05-01 11:30:00', '2017-05-01 11:45:00',
               '2017-05-01 12:00:00', '2017-05-01 12:15:00',
               '2017-05-01 12:30:00', '2017-05-01 12:45:00',
               '2017-05-01 13:00:00', '2017-05-01 13:15:00',
               '2017-05-01 13:30:00', '2017-05-01 13:45:00',
               '2017-05-01 14:00:00', '2017-05-01 14:15:00',
               '2017-05-01 14:30:00', '2017-05-01 14:45:00',
               '2017-05-01 15:00:00', '2017-05-01 15:15:00',
               '2017-05-01 15:30:00', '2017-05-01 15:45:00',
               '2017-05-01 16:00:00', '2017-05-01 16:15:00',
               '2017-05-01 16:30:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00', '2017-05-20 13:00:00',
               '2017-05-20 13:15:00', '2017-05-20 13:30:00',
               '2017-05-20 13:45:00', '2017-05-20 14:00:00',
               '2017-05-20 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00', '2017-05-01 08:15:00',
               '2017-05-01 08:30:00', '2017-05-01 08:45:00',
               '2017-05-01 09:00:00', '2017-05-01 09:15:00',
               '2017-05-01 09:30:00', '2017-05-01 09:45:00',
               '2017-05-01 10:00:00', '2017-05-01 10:15:00',
               '2017-05-01 10:30:00', '2017-05-01 10:45:00',
               '2017-05-01 11:00:00', '2017-05-01 11:15:00',
               '2017-05-01 11:30:00', '2017-05-01 11:45:00',
               '2017-05-01 12:00:00', '2017-05-01 12:15:00',
               '2017-05-01 12:30:00', '2017-05-01 12:45:00',
               '2017-05-01 13:00:00', '2017-05-01 13:15:00',
               '2017-05-01 13:30:00', '2017-05-01 13:45:00',
               '2017-05-01 14:00:00', '2017-05-01 14:15:00',
               '2017-05-01 14:30:00', '2017-05-01 14:45:00',
               '2017-05-01 15:00:00', '2017-05-01 15:15:00',
               '2017-05-01 15:30:00', '2017-05-01 15:45:00',
               '2017-05-01 16:00:00', '2017-05-01 16:15:00',
               '2017-05-01 16:30:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-5-1T00 to 2017-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-05-01 00:00:00', '2017-05-01 00:15:00',
               '2017-05-01 00:30:00', '2017-05-01 00:45:00',
               '2017-05-01 01:00:00', '2017-05-01 01:15:00',
               '2017-05-01 01:30:00', '2017-05-01 01:45:00',
               '2017-05-01 02:00:00', '2017-05-01 02:15:00',
               '2017-05-01 02:30:00', '2017-05-01 02:45:00',
               '2017-05-01 03:00:00', '2017-05-01 03:15:00',
               '2017-05-01 03:30:00', '2017-05-01 03:45:00',
               '2017-05-01 04:00:00', '2017-05-01 04:15:00',
               '2017-05-01 04:30:00', '2017-05-01 04:45:00',
               '2017-05-01 05:00:00', '2017-05-01 05:15:00',
               '2017-05-01 05:30:00', '2017-05-01 05:45:00',
               '2017-05-01 06:00:00', '2017-05-01 06:15:00',
               '2017-05-01 06:30:00', '2017-05-01 06:45:00',
               '2017-05-01 07:00:00', '2017-05-01 07:15:00',
               '2017-05-01 07:30:00', '2017-05-01 07:45:00',
               '2017-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00', '2017-06-16 17:15:00',
               '2017-06-16 17:30:00', '2017-06-16 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00', '2017-06-14 23:15:00',
               '2017-06-14 23:30:00', '2017-06-14 23:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00', '2017-06-24 10:15:00',
               '2017-06-24 10:30:00', '2017-06-24 10:45:00',
               '2017-06-24 11:00:00', '2017-06-24 11:15:00',
               '2017-06-24 11:30:00', '2017-06-24 11:45:00',
               '2017-06-24 12:00:00', '2017-06-24 12:15:00',
               '2017-06-24 17:30:00', '2017-06-24 17:45:00',
               '2017-06-24 18:00:00', '2017-06-24 18:15:00',
               '2017-06-24 18:30:00', '2017-06-24 18:45:00',
               '2017-06-24 19:00:00', '2017-06-24 19:15:00',
               '2017-06-25 11:00:00', '2017-06-25 11:15:00',
               '2017-06-25 11:30:00', '2017-06-25 11:45:00',
               '2017-06-25 12:00:00', '2017-06-25 12:15:00',
               '2017-06-25 12:30:00', '2017-06-25 12:45:00',
               '2017-06-25 13:00:00', '2017-06-25 13:15:00',
               '2017-06-25 13:30:00', '2017-06-26 12:00:00',
               '2017-06-26 12:15:00', '2017-06-26 12:30:00',
               '2017-06-26 12:45:00', '2017-06-26 13:00:00',
               '2017-06-26 13:15:00', '2017-06-26 13:30:00',
               '2017-06-26 13:45:00', '2017-06-26 14:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-6-1T00 to 2017-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00', '2017-06-16 17:15:00',
               '2017-06-16 17:30:00', '2017-06-16 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-6-1T00 to 2017-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-06-01 00:00:00', '2017-06-01 00:15:00',
               '2017-06-01 00:30:00', '2017-06-01 00:45:00',
               '2017-06-01 01:00:00', '2017-06-01 01:15:00',
               '2017-06-01 01:30:00', '2017-06-01 01:45:00',
               '2017-06-01 02:00:00', '2017-06-01 02:15:00',
               '2017-06-01 02:30:00', '2017-06-01 02:45:00',
               '2017-06-01 03:00:00', '2017-06-01 03:15:00',
               '2017-06-01 03:30:00', '2017-06-01 03:45:00',
               '2017-06-01 04:00:00', '2017-06-01 04:15:00',
               '2017-06-01 04:30:00', '2017-06-01 04:45:00',
               '2017-06-01 05:00:00', '2017-06-01 05:15:00',
               '2017-06-01 05:30:00', '2017-06-01 05:45:00',
               '2017-06-01 06:00:00', '2017-06-01 06:15:00',
               '2017-06-01 06:30:00', '2017-06-01 06:45:00',
               '2017-06-01 07:00:00', '2017-06-01 07:15:00',
               '2017-06-01 07:30:00', '2017-06-01 07:45:00',
               '2017-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00', '2017-07-21 21:45:00',
               '2017-07-21 22:00:00', '2017-07-21 22:15:00',
               '2017-07-21 22:30:00', '2017-07-21 22:45:00',
               '2017-07-21 23:00:00', '2017-07-21 23:15:00',
               '2017-07-21 23:30:00', '2017-07-21 23:45:00',
               '2017-07-22 00:00:00', '2017-07-23 10:15:00',
               '2017-07-23 10:30:00', '2017-07-23 10:45:00',
               '2017-07-23 11:00:00', '2017-07-23 11:15:00',
               '2017-07-23 11:30:00', '2017-07-23 11:45:00',
               '2017-07-23 12:00:00', '2017-07-24 11:00:00',
               '2017-07-24 11:15:00', '2017-07-24 11:30:00',
               '2017-07-24 11:45:00', '2017-07-24 12:00:00',
               '2017-07-24 12:15:00', '2017-07-24 12:30:00',
               '2017-07-24 12:45:00', '2017-07-24 13:00:00',
               '2017-07-25 11:45:00', '2017-07-25 12:00:00',
               '2017-07-25 12:15:00', '2017-07-25 12:30:00',
               '2017-07-25 12:45:00', '2017-07-25 13:00:00',
               '2017-07-25 13:15:00', '2017-07-25 13:30:00',
               '2017-07-25 13:45:00', '2017-07-25 23:15:00',
               '2017-07-25 23:30:00', '2017-07-25 23:45:00',
               '2017-07-26 00:00:00', '2017-07-26 00:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-7-1T00 to 2017-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-7-1T00 to 2017-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-07-01 00:00:00', '2017-07-01 00:15:00',
               '2017-07-01 00:30:00', '2017-07-01 00:45:00',
               '2017-07-01 01:00:00', '2017-07-01 01:15:00',
               '2017-07-01 01:30:00', '2017-07-01 01:45:00',
               '2017-07-01 02:00:00', '2017-07-01 02:15:00',
               '2017-07-01 02:30:00', '2017-07-01 02:45:00',
               '2017-07-01 03:00:00', '2017-07-01 03:15:00',
               '2017-07-01 03:30:00', '2017-07-01 03:45:00',
               '2017-07-01 04:00:00', '2017-07-01 04:15:00',
               '2017-07-01 04:30:00', '2017-07-01 04:45:00',
               '2017-07-01 05:00:00', '2017-07-01 05:15:00',
               '2017-07-01 05:30:00', '2017-07-01 05:45:00',
               '2017-07-01 06:00:00', '2017-07-01 06:15:00',
               '2017-07-01 06:30:00', '2017-07-01 06:45:00',
               '2017-07-01 07:00:00', '2017-07-01 07:15:00',
               '2017-07-01 07:30:00', '2017-07-01 07:45:00',
               '2017-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00', '2017-08-04 20:00:00',
               '2017-08-04 20:15:00', '2017-08-04 20:30:00',
               '2017-08-10 19:30:00', '2017-08-10 19:45:00',
               '2017-08-10 20:00:00', '2017-08-10 20:15:00',
               '2017-08-10 20:30:00', '2017-08-10 20:45:00',
               '2017-08-10 21:00:00', '2017-08-10 21:15:00',
               '2017-08-10 21:30:00', '2017-08-11 20:30:00',
               '2017-08-11 20:45:00', '2017-08-11 21:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00', '2017-08-21 10:00:00',
               '2017-08-21 10:15:00', '2017-08-21 10:30:00',
               '2017-08-21 10:45:00', '2017-08-21 11:00:00',
               '2017-08-21 11:15:00', '2017-08-21 11:30:00',
               '2017-08-21 11:45:00', '2017-08-21 12:00:00',
               '2017-08-22 10:45:00', '2017-08-22 11:00:00',
               '2017-08-22 11:15:00', '2017-08-22 11:30:00',
               '2017-08-22 11:45:00', '2017-08-22 12:00:00',
               '2017-08-22 12:15:00', '2017-08-22 12:30:00',
               '2017-08-22 12:45:00', '2017-08-22 13:00:00',
               '2017-08-23 00:15:00', '2017-08-23 00:30:00',
               '2017-08-23 00:45:00', '2017-08-23 01:00:00',
               '2017-08-23 01:15:00', '2017-08-23 11:30:00',
               '2017-08-23 11:45:00', '2017-08-23 12:00:00',
               '2017-08-23 12:15:00', '2017-08-23 12:30:00',
               '2017-08-23 12:45:00', '2017-08-23 13:00:00',
               '2017-08-23 13:15:00', '2017-08-23 13:30:00',
               '2017-08-23 13:45:00', '2017-08-24 00:45:00',
               '2017-08-24 01:00:00', '2017-08-24 01:15:00',
               '2017-08-24 01:30:00', '2017-08-24 01:45:00',
               '2017-08-24 12:15:00', '2017-08-24 12:30:00',
               '2017-08-24 12:45:00', '2017-08-24 13:00:00',
               '2017-08-24 13:15:00', '2017-08-24 13:30:00',
               '2017-08-24 13:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00', '2017-08-10 23:00:00',
               '2017-08-10 23:15:00', '2017-08-10 23:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-8-1T00 to 2017-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00', '2017-08-10 23:00:00',
               '2017-08-10 23:15:00', '2017-08-10 23:30:00',
               '2017-08-15 17:00:00', '2017-08-15 17:15:00',
               '2017-08-15 17:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00', '2017-08-10 23:00:00',
               '2017-08-10 23:15:00', '2017-08-10 23:30:00',
               '2017-08-15 17:00:00', '2017-08-15 17:15:00',
               '2017-08-15 17:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-8-1T00 to 2017-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-08-01 00:00:00', '2017-08-01 00:15:00',
               '2017-08-01 00:30:00', '2017-08-01 00:45:00',
               '2017-08-01 01:00:00', '2017-08-01 01:15:00',
               '2017-08-01 01:30:00', '2017-08-01 01:45:00',
               '2017-08-01 02:00:00', '2017-08-01 02:15:00',
               '2017-08-01 02:30:00', '2017-08-01 02:45:00',
               '2017-08-01 03:00:00', '2017-08-01 03:15:00',
               '2017-08-01 03:30:00', '2017-08-01 03:45:00',
               '2017-08-01 04:00:00', '2017-08-01 04:15:00',
               '2017-08-01 04:30:00', '2017-08-01 04:45:00',
               '2017-08-01 05:00:00', '2017-08-01 05:15:00',
               '2017-08-01 05:30:00', '2017-08-01 05:45:00',
               '2017-08-01 06:00:00', '2017-08-01 06:15:00',
               '2017-08-01 06:30:00', '2017-08-01 06:45:00',
               '2017-08-01 07:00:00', '2017-08-01 07:15:00',
               '2017-08-01 07:30:00', '2017-08-01 07:45:00',
               '2017-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00', '2017-09-07 22:00:00',
               '2017-09-07 22:15:00', '2017-09-07 22:30:00',
               '2017-09-19 16:30:00', '2017-09-19 16:45:00',
               '2017-09-19 17:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00', '2017-09-20 17:30:00',
               '2017-09-20 17:45:00', '2017-09-20 18:00:00',
               '2017-09-20 18:15:00', '2017-09-20 18:30:00',
               '2017-09-20 23:15:00', '2017-09-20 23:30:00',
               '2017-09-20 23:45:00', '2017-09-21 00:00:00',
               '2017-09-21 00:15:00', '2017-09-21 11:30:00',
               '2017-09-21 11:45:00', '2017-09-21 12:00:00',
               '2017-09-21 12:15:00', '2017-09-21 12:30:00',
               '2017-09-21 12:45:00', '2017-09-21 13:00:00',
               '2017-09-21 23:30:00', '2017-09-21 23:45:00',
               '2017-09-22 00:00:00', '2017-09-22 00:15:00',
               '2017-09-22 00:30:00', '2017-09-22 00:45:00',
               '2017-09-22 01:00:00', '2017-09-22 01:15:00',
               '2017-09-22 01:30:00', '2017-09-28 18:15:00',
               '2017-09-28 18:30:00', '2017-09-28 18:45:00',
               '2017-09-28 19:15:00', '2017-09-28 19:30:00',
               '2017-09-28 19:45:00', '2017-09-28 20:15:00',
               '2017-09-28 20:30:00', '2017-09-28 20:45:00',
               '2017-09-28 21:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00', '2017-09-20 00:15:00',
               '2017-09-20 00:30:00', '2017-09-20 00:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-9-1T00 to 2017-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               ...
               '2017-09-28 18:45:00', '2017-09-28 19:00:00',
               '2017-09-28 19:15:00', '2017-09-28 19:30:00',
               '2017-09-28 19:45:00', '2017-09-28 20:00:00',
               '2017-09-28 20:15:00', '2017-09-28 20:30:00',
               '2017-09-28 20:45:00', '2017-09-28 21:00:00'],
              dtype='datetime64[ns]', length=241, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-9-1T00 to 2017-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-09-01 00:00:00', '2017-09-01 00:15:00',
               '2017-09-01 00:30:00', '2017-09-01 00:45:00',
               '2017-09-01 01:00:00', '2017-09-01 01:15:00',
               '2017-09-01 01:30:00', '2017-09-01 01:45:00',
               '2017-09-01 02:00:00', '2017-09-01 02:15:00',
               '2017-09-01 02:30:00', '2017-09-01 02:45:00',
               '2017-09-01 03:00:00', '2017-09-01 03:15:00',
               '2017-09-01 03:30:00', '2017-09-01 03:45:00',
               '2017-09-01 04:00:00', '2017-09-01 04:15:00',
               '2017-09-01 04:30:00', '2017-09-01 04:45:00',
               '2017-09-01 05:00:00', '2017-09-01 05:15:00',
               '2017-09-01 05:30:00', '2017-09-01 05:45:00',
               '2017-09-01 06:00:00', '2017-09-01 06:15:00',
               '2017-09-01 06:30:00', '2017-09-01 06:45:00',
               '2017-09-01 07:00:00', '2017-09-01 07:15:00',
               '2017-09-01 07:30:00', '2017-09-01 07:45:00',
               '2017-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               ...
               '2017-10-25 07:00:00', '2017-10-25 07:15:00',
               '2017-10-25 07:30:00', '2017-10-25 07:45:00',
               '2017-10-25 08:00:00', '2017-10-25 08:15:00',
               '2017-10-25 08:30:00', '2017-10-25 08:45:00',
               '2017-10-25 09:00:00', '2017-10-25 09:15:00'],
              dtype='datetime64[ns]', length=614, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00', '2017-10-17 20:15:00',
               '2017-10-17 20:30:00', '2017-10-17 20:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-10-19 04:30:00', '2017-10-19 04:45:00',
               '2017-10-19 05:00:00', '2017-10-19 05:15:00',
               '2017-10-19 05:30:00', '2017-10-19 05:45:00',
               '2017-10-19 06:00:00', '2017-10-19 06:15:00',
               '2017-10-19 06:30:00', '2017-10-19 06:45:00',
               ...
               '2017-10-31 20:45:00', '2017-10-31 21:00:00',
               '2017-10-31 21:15:00', '2017-10-31 21:30:00',
               '2017-10-31 21:45:00', '2017-10-31 22:00:00',
               '2017-10-31 22:15:00', '2017-10-31 22:30:00',
               '2017-10-31 22:45:00', '2017-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1227, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-10-18 16:45:00', '2017-10-18 17:00:00',
               '2017-10-18 17:15:00', '2017-10-18 17:30:00',
               '2017-10-18 17:45:00', '2017-10-18 18:00:00',
               '2017-10-18 18:15:00', '2017-10-18 18:30:00',
               '2017-10-18 18:45:00', '2017-10-18 19:00:00',
               ...
               '2017-10-31 20:45:00', '2017-10-31 21:00:00',
               '2017-10-31 21:15:00', '2017-10-31 21:30:00',
               '2017-10-31 21:45:00', '2017-10-31 22:00:00',
               '2017-10-31 22:15:00', '2017-10-31 22:30:00',
               '2017-10-31 22:45:00', '2017-10-31 23:00:00'],
              dtype='datetime64[ns]', length=1274, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00', '2017-10-23 09:00:00',
               '2017-10-23 09:15:00', '2017-10-23 09:30:00',
               '2017-10-23 09:45:00', '2017-10-23 10:00:00',
               '2017-10-23 10:15:00', '2017-10-23 10:30:00',
               '2017-10-23 10:45:00', '2017-10-23 11:00:00',
               '2017-10-23 11:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00', '2017-10-05 22:30:00',
               '2017-10-05 22:45:00', '2017-10-05 23:00:00',
               '2017-10-05 23:15:00', '2017-10-05 23:30:00',
               '2017-10-05 23:45:00', '2017-10-06 00:00:00',
               '2017-10-06 00:15:00', '2017-10-06 00:30:00',
               '2017-10-06 00:45:00', '2017-10-06 10:45:00',
               '2017-10-06 11:00:00', '2017-10-06 11:15:00',
               '2017-10-06 11:30:00', '2017-10-06 11:45:00',
               '2017-10-06 12:00:00', '2017-10-06 12:15:00',
               '2017-10-06 12:30:00', '2017-10-06 23:00:00',
               '2017-10-06 23:15:00', '2017-10-06 23:30:00',
               '2017-10-06 23:45:00', '2017-10-07 00:00:00',
               '2017-10-07 00:15:00', '2017-10-07 00:30:00',
               '2017-10-07 00:45:00', '2017-10-07 01:00:00',
               '2017-10-07 01:15:00', '2017-10-07 01:30:00',
               '2017-10-07 23:30:00', '2017-10-07 23:45:00',
               '2017-10-08 00:00:00', '2017-10-08 00:15:00',
               '2017-10-08 00:30:00', '2017-10-08 00:45:00',
               '2017-10-08 01:00:00', '2017-10-08 01:15:00',
               '2017-10-08 01:30:00', '2017-10-08 01:45:00',
               '2017-10-08 02:00:00', '2017-10-08 02:15:00',
               '2017-10-09 00:30:00', '2017-10-09 00:45:00',
               '2017-10-09 01:00:00', '2017-10-09 01:15:00',
               '2017-10-09 01:30:00', '2017-10-09 01:45:00',
               '2017-10-09 02:00:00', '2017-10-09 02:15:00',
               '2017-10-19 22:45:00', '2017-10-19 23:00:00',
               '2017-10-19 23:15:00', '2017-10-19 23:30:00',
               '2017-10-19 23:45:00', '2017-10-20 00:00:00',
               '2017-10-20 00:15:00', '2017-10-20 23:15:00',
               '2017-10-20 23:30:00', '2017-10-20 23:45:00',
               '2017-10-21 00:00:00', '2017-10-21 00:15:00',
               '2017-10-21 00:30:00', '2017-10-21 00:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               ...
               '2017-10-25 10:00:00', '2017-10-25 10:15:00',
               '2017-10-25 10:30:00', '2017-10-25 10:45:00',
               '2017-10-25 11:00:00', '2017-10-25 11:15:00',
               '2017-10-25 11:30:00', '2017-10-25 11:45:00',
               '2017-10-25 12:00:00', '2017-10-25 12:15:00'],
              dtype='datetime64[ns]', length=378, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               ...
               '2017-10-27 14:15:00', '2017-10-27 14:30:00',
               '2017-10-27 14:45:00', '2017-10-27 15:00:00',
               '2017-10-27 15:15:00', '2017-10-27 15:30:00',
               '2017-10-27 15:45:00', '2017-10-27 16:00:00',
               '2017-10-27 16:15:00', '2017-10-27 16:30:00'],
              dtype='datetime64[ns]', length=767, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-10-1T00 to 2017-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               ...
               '2017-10-26 03:30:00', '2017-10-26 03:45:00',
               '2017-10-26 04:00:00', '2017-10-26 04:15:00',
               '2017-10-26 04:30:00', '2017-10-26 04:45:00',
               '2017-10-26 05:00:00', '2017-10-26 05:15:00',
               '2017-10-26 05:30:00', '2017-10-26 05:45:00'],
              dtype='datetime64[ns]', length=639, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00', '2017-10-17 20:15:00',
               '2017-10-17 20:30:00', '2017-10-17 20:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00', '2017-10-06 19:45:00',
               '2017-10-06 20:00:00', '2017-10-06 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00', '2017-10-23 09:00:00',
               '2017-10-23 09:15:00', '2017-10-23 09:30:00',
               '2017-10-23 09:45:00', '2017-10-23 10:00:00',
               '2017-10-23 10:15:00', '2017-10-23 10:30:00',
               '2017-10-23 10:45:00', '2017-10-23 11:00:00',
               '2017-10-23 11:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00', '2017-10-06 19:45:00',
               '2017-10-06 20:00:00', '2017-10-06 20:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-10-1T00 to 2017-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-10-01 00:00:00', '2017-10-01 00:15:00',
               '2017-10-01 00:30:00', '2017-10-01 00:45:00',
               '2017-10-01 01:00:00', '2017-10-01 01:15:00',
               '2017-10-01 01:30:00', '2017-10-01 01:45:00',
               '2017-10-01 02:00:00', '2017-10-01 02:15:00',
               '2017-10-01 02:30:00', '2017-10-01 02:45:00',
               '2017-10-01 03:00:00', '2017-10-01 03:15:00',
               '2017-10-01 03:30:00', '2017-10-01 03:45:00',
               '2017-10-01 04:00:00', '2017-10-01 04:15:00',
               '2017-10-01 04:30:00', '2017-10-01 04:45:00',
               '2017-10-01 05:00:00', '2017-10-01 05:15:00',
               '2017-10-01 05:30:00', '2017-10-01 05:45:00',
               '2017-10-01 06:00:00', '2017-10-01 06:15:00',
               '2017-10-01 06:30:00', '2017-10-01 06:45:00',
               '2017-10-01 07:00:00', '2017-10-01 07:15:00',
               '2017-10-01 07:30:00', '2017-10-01 07:45:00',
               '2017-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 8.2, max INDEP value is 7.15
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-06 18:00:00', '2017-11-06 18:15:00',
               '2017-11-06 18:30:00', '2017-11-06 18:45:00',
               '2017-11-06 19:00:00', '2017-11-06 19:15:00',
               '2017-11-06 19:30:00', '2017-11-06 19:45:00',
               '2017-11-06 20:00:00', '2017-11-06 20:15:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2325, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-08 12:00:00', '2017-11-08 12:15:00',
               '2017-11-08 12:30:00', '2017-11-08 12:45:00',
               '2017-11-08 13:00:00', '2017-11-08 13:15:00',
               '2017-11-08 13:30:00', '2017-11-08 13:45:00',
               '2017-11-08 14:00:00', '2017-11-08 14:15:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2157, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-09 21:00:00', '2017-11-09 21:15:00',
               '2017-11-09 21:30:00', '2017-11-09 21:45:00',
               '2017-11-09 22:00:00', '2017-11-09 22:15:00',
               '2017-11-09 22:30:00', '2017-11-09 22:45:00',
               '2017-11-09 23:00:00', '2017-11-09 23:15:00',
               ...
               '2017-11-30 11:15:00', '2017-11-30 11:30:00',
               '2017-11-30 11:45:00', '2017-11-30 12:00:00',
               '2017-11-30 12:15:00', '2017-11-30 12:30:00',
               '2017-11-30 12:45:00', '2017-11-30 13:00:00',
               '2017-11-30 13:15:00', '2017-11-30 13:30:00'],
              dtype='datetime64[ns]', length=1987, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               ...
               '2017-11-29 07:30:00', '2017-11-29 07:45:00',
               '2017-11-29 08:00:00', '2017-11-29 08:15:00',
               '2017-11-29 08:30:00', '2017-11-29 08:45:00',
               '2017-11-29 09:00:00', '2017-11-29 09:15:00',
               '2017-11-29 09:30:00', '2017-11-29 09:45:00'],
              dtype='datetime64[ns]', length=632, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-22 14:45:00', '2017-11-22 15:00:00',
               '2017-11-22 15:15:00', '2017-11-22 15:30:00',
               '2017-11-22 15:45:00', '2017-11-22 16:00:00',
               '2017-11-22 16:15:00', '2017-11-22 16:30:00',
               '2017-11-22 16:45:00', '2017-11-22 17:00:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=802, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               ...
               '2017-11-22 07:30:00', '2017-11-22 07:45:00',
               '2017-11-22 08:00:00', '2017-11-22 08:15:00',
               '2017-11-22 08:30:00', '2017-11-22 08:45:00',
               '2017-11-22 09:00:00', '2017-11-22 09:15:00',
               '2017-11-22 09:30:00', '2017-11-22 09:45:00'],
              dtype='datetime64[ns]', length=323, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-21 10:30:00', '2017-11-21 10:45:00',
               '2017-11-21 11:00:00', '2017-11-21 11:15:00',
               '2017-11-21 11:30:00', '2017-11-21 11:45:00',
               '2017-11-21 12:00:00', '2017-11-21 12:15:00',
               '2017-11-21 12:30:00', '2017-11-21 12:45:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=915, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-11 15:30:00', '2017-11-11 15:45:00',
               '2017-11-11 16:00:00', '2017-11-11 16:15:00',
               '2017-11-11 16:30:00', '2017-11-11 16:45:00',
               '2017-11-11 17:00:00', '2017-11-11 17:15:00',
               '2017-11-11 17:30:00', '2017-11-11 17:45:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=1855, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-08 21:30:00', '2017-11-08 21:45:00',
               '2017-11-08 22:00:00', '2017-11-08 22:15:00',
               '2017-11-08 22:30:00', '2017-11-08 22:45:00',
               '2017-11-08 23:00:00', '2017-11-08 23:15:00',
               '2017-11-08 23:30:00', '2017-11-08 23:45:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2119, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-02 08:15:00', '2017-11-02 08:30:00',
               '2017-11-02 08:45:00', '2017-11-02 09:00:00',
               '2017-11-02 09:15:00', '2017-11-02 09:30:00',
               '2017-11-02 09:45:00', '2017-11-02 10:00:00',
               '2017-11-02 10:15:00', '2017-11-02 10:30:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2748, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-11-1T00 to 2017-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-11-06 23:45:00', '2017-11-07 00:00:00',
               '2017-11-07 00:15:00', '2017-11-07 00:30:00',
               '2017-11-07 00:45:00', '2017-11-07 01:00:00',
               '2017-11-07 01:15:00', '2017-11-07 01:30:00',
               '2017-11-07 01:45:00', '2017-11-07 02:00:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2302, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               ...
               '2017-11-30 20:45:00', '2017-11-30 21:00:00',
               '2017-11-30 21:15:00', '2017-11-30 21:30:00',
               '2017-11-30 21:45:00', '2017-11-30 22:00:00',
               '2017-11-30 22:15:00', '2017-11-30 22:30:00',
               '2017-11-30 22:45:00', '2017-11-30 23:00:00'],
              dtype='datetime64[ns]', length=697, freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00', '2017-11-08 22:15:00',
               '2017-11-08 22:30:00', '2017-11-08 22:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-11-1T00 to 2017-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-11-01 00:00:00', '2017-11-01 00:15:00',
               '2017-11-01 00:30:00', '2017-11-01 00:45:00',
               '2017-11-01 01:00:00', '2017-11-01 01:15:00',
               '2017-11-01 01:30:00', '2017-11-01 01:45:00',
               '2017-11-01 02:00:00', '2017-11-01 02:15:00',
               '2017-11-01 02:30:00', '2017-11-01 02:45:00',
               '2017-11-01 03:00:00', '2017-11-01 03:15:00',
               '2017-11-01 03:30:00', '2017-11-01 03:45:00',
               '2017-11-01 04:00:00', '2017-11-01 04:15:00',
               '2017-11-01 04:30:00', '2017-11-01 04:45:00',
               '2017-11-01 05:00:00', '2017-11-01 05:15:00',
               '2017-11-01 05:30:00', '2017-11-01 05:45:00',
               '2017-11-01 06:00:00', '2017-11-01 06:15:00',
               '2017-11-01 06:30:00', '2017-11-01 06:45:00',
               '2017-11-01 07:00:00', '2017-11-01 07:15:00',
               '2017-11-01 07:30:00', '2017-11-01 07:45:00',
               '2017-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.77, max INDEP value is 7.15
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-12-17 10:15:00', '2017-12-17 10:30:00',
               '2017-12-17 10:45:00', '2017-12-17 11:00:00',
               '2017-12-17 11:15:00', '2017-12-17 11:30:00',
               '2017-12-17 11:45:00', '2017-12-17 12:00:00',
               '2017-12-17 12:15:00', '2017-12-17 12:30:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=1396, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-06 06:15:00', '2017-12-06 06:30:00',
               '2017-12-06 06:45:00', '2017-12-06 07:00:00',
               '2017-12-06 07:15:00', '2017-12-06 07:30:00',
               '2017-12-06 07:45:00', '2017-12-06 08:00:00',
               '2017-12-06 08:15:00', '2017-12-06 08:30:00'],
              dtype='datetime64[ns]', length=515, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-12-21 14:15:00', '2017-12-21 14:30:00',
               '2017-12-21 14:45:00', '2017-12-21 15:00:00',
               '2017-12-21 15:15:00', '2017-12-21 15:30:00',
               '2017-12-21 15:45:00', '2017-12-21 16:00:00',
               '2017-12-21 16:15:00', '2017-12-21 16:30:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=996, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-20 04:30:00', '2017-12-20 04:45:00',
               '2017-12-20 05:00:00', '2017-12-20 05:15:00',
               '2017-12-20 05:30:00', '2017-12-20 05:45:00',
               '2017-12-20 06:00:00', '2017-12-20 06:15:00',
               '2017-12-20 06:30:00', '2017-12-20 06:45:00'],
              dtype='datetime64[ns]', length=819, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=468, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=676, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=939, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=606, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-09 17:00:00', '2017-12-09 17:15:00',
               '2017-12-09 17:30:00', '2017-12-09 17:45:00',
               '2017-12-09 18:00:00', '2017-12-09 18:15:00',
               '2017-12-09 18:30:00', '2017-12-09 18:45:00',
               '2017-12-09 19:00:00', '2017-12-09 19:15:00'],
              dtype='datetime64[ns]', length=846, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-24 06:15:00', '2017-12-24 06:30:00',
               '2017-12-24 06:45:00', '2017-12-24 07:00:00',
               '2017-12-24 07:15:00', '2017-12-24 07:30:00',
               '2017-12-24 07:45:00', '2017-12-24 08:00:00',
               '2017-12-24 08:15:00', '2017-12-24 08:30:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=740, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2385, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2017-12-1T00 to 2017-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               ...
               '2017-12-31 20:45:00', '2017-12-31 21:00:00',
               '2017-12-31 21:15:00', '2017-12-31 21:30:00',
               '2017-12-31 21:45:00', '2017-12-31 22:00:00',
               '2017-12-31 22:15:00', '2017-12-31 22:30:00',
               '2017-12-31 22:45:00', '2017-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00', '2017-12-14 20:15:00',
               '2017-12-14 20:30:00', '2017-12-14 20:45:00',
               '2017-12-14 21:15:00', '2017-12-14 21:30:00',
               '2017-12-14 21:45:00', '2017-12-21 11:45:00',
               '2017-12-21 12:00:00', '2017-12-21 12:15:00',
               '2017-12-22 13:30:00', '2017-12-22 13:45:00',
               '2017-12-22 14:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00', '2017-12-09 19:30:00',
               '2017-12-09 19:45:00', '2017-12-09 20:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00', '2017-12-14 20:15:00',
               '2017-12-14 20:30:00', '2017-12-14 20:45:00',
               '2017-12-14 21:15:00', '2017-12-14 21:30:00',
               '2017-12-14 21:45:00', '2017-12-21 11:45:00',
               '2017-12-21 12:00:00', '2017-12-21 12:15:00',
               '2017-12-22 13:30:00', '2017-12-22 13:45:00',
               '2017-12-22 14:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2017-12-1T00 to 2017-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2017-12-01 00:00:00', '2017-12-01 00:15:00',
               '2017-12-01 00:30:00', '2017-12-01 00:45:00',
               '2017-12-01 01:00:00', '2017-12-01 01:15:00',
               '2017-12-01 01:30:00', '2017-12-01 01:45:00',
               '2017-12-01 02:00:00', '2017-12-01 02:15:00',
               '2017-12-01 02:30:00', '2017-12-01 02:45:00',
               '2017-12-01 03:00:00', '2017-12-01 03:15:00',
               '2017-12-01 03:30:00', '2017-12-01 03:45:00',
               '2017-12-01 04:00:00', '2017-12-01 04:15:00',
               '2017-12-01 04:30:00', '2017-12-01 04:45:00',
               '2017-12-01 05:00:00', '2017-12-01 05:15:00',
               '2017-12-01 05:30:00', '2017-12-01 05:45:00',
               '2017-12-01 06:00:00', '2017-12-01 06:15:00',
               '2017-12-01 06:30:00', '2017-12-01 06:45:00',
               '2017-12-01 07:00:00', '2017-12-01 07:15:00',
               '2017-12-01 07:30:00', '2017-12-01 07:45:00',
               '2017-12-01 08:00:00', '2017-12-01 08:15:00',
               '2017-12-01 08:30:00', '2017-12-01 08:45:00',
               '2017-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)

2018

year = 2018
run_year(year)

Show code cell output Hide code cell output

{L:539} Processing discharge for station 15276000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.79, max INDEP value is 7.15
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-05 16:45:00', '2018-01-05 17:00:00',
               '2018-01-05 17:15:00', '2018-01-05 17:30:00',
               '2018-01-05 17:45:00', '2018-01-05 18:00:00',
               '2018-01-05 18:15:00', '2018-01-05 18:30:00',
               '2018-01-05 18:45:00', '2018-01-05 19:00:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2087, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00', '2018-01-01 09:15:00',
               '2018-01-01 09:30:00', '2018-01-01 09:45:00',
               '2018-01-01 10:00:00', '2018-01-01 10:15:00',
               '2018-01-01 10:30:00', '2018-01-01 10:45:00',
               '2018-01-01 11:00:00', '2018-01-01 11:15:00',
               '2018-01-01 11:30:00', '2018-01-01 11:45:00',
               '2018-01-01 12:00:00', '2018-01-01 12:15:00',
               '2018-01-01 12:30:00', '2018-01-01 12:45:00',
               '2018-01-01 13:00:00', '2018-01-01 13:15:00',
               '2018-01-01 13:30:00', '2018-01-01 13:45:00',
               '2018-01-01 14:00:00', '2018-01-01 14:15:00',
               '2018-01-01 14:30:00', '2018-01-01 14:45:00',
               '2018-01-01 15:00:00', '2018-01-01 15:15:00',
               '2018-01-01 15:30:00', '2018-01-01 15:45:00',
               '2018-01-01 16:00:00', '2018-01-01 16:15:00',
               '2018-01-01 16:30:00', '2018-01-01 16:45:00',
               '2018-01-01 17:00:00', '2018-01-01 17:15:00',
               '2018-01-01 17:30:00', '2018-01-01 17:45:00',
               '2018-01-01 18:00:00', '2018-01-01 18:15:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-20 18:00:00', '2018-01-20 18:15:00',
               '2018-01-20 18:30:00', '2018-01-20 18:45:00',
               '2018-01-20 19:00:00', '2018-01-20 19:15:00',
               '2018-01-20 19:30:00', '2018-01-20 19:45:00',
               '2018-01-20 20:00:00', '2018-01-20 20:15:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1077, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               ...
               '2018-01-13 11:00:00', '2018-01-13 11:15:00',
               '2018-01-13 11:30:00', '2018-01-13 11:45:00',
               '2018-01-13 12:00:00', '2018-01-13 12:15:00',
               '2018-01-13 12:30:00', '2018-01-13 12:45:00',
               '2018-01-13 13:00:00', '2018-01-13 13:15:00'],
              dtype='datetime64[ns]', length=756, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-20 07:15:00', '2018-01-20 07:30:00',
               '2018-01-20 07:45:00', '2018-01-20 08:00:00',
               '2018-01-20 08:15:00', '2018-01-20 08:30:00',
               '2018-01-20 08:45:00', '2018-01-20 09:00:00',
               '2018-01-20 09:15:00', '2018-01-20 09:30:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=1120, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               ...
               '2018-01-14 14:15:00', '2018-01-14 14:30:00',
               '2018-01-14 14:45:00', '2018-01-14 15:00:00',
               '2018-01-14 15:15:00', '2018-01-14 15:30:00',
               '2018-01-14 15:45:00', '2018-01-14 16:00:00',
               '2018-01-14 16:15:00', '2018-01-14 16:30:00'],
              dtype='datetime64[ns]', length=858, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-08 00:45:00', '2018-01-08 01:00:00',
               '2018-01-08 01:15:00', '2018-01-08 01:30:00',
               '2018-01-08 01:45:00', '2018-01-08 02:00:00',
               '2018-01-08 02:15:00', '2018-01-08 02:30:00',
               '2018-01-08 02:45:00', '2018-01-08 03:00:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2028, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00', '2018-01-01 09:15:00',
               '2018-01-01 09:30:00', '2018-01-01 09:45:00',
               '2018-01-01 10:00:00', '2018-01-01 10:15:00',
               '2018-01-01 10:30:00', '2018-01-01 10:45:00',
               '2018-01-01 11:00:00', '2018-01-01 11:15:00',
               '2018-01-01 11:30:00', '2018-01-01 11:45:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-27 17:45:00', '2018-01-27 18:00:00',
               '2018-01-27 18:15:00', '2018-01-27 18:30:00',
               '2018-01-27 18:45:00', '2018-01-27 19:00:00',
               '2018-01-27 19:15:00', '2018-01-27 19:30:00',
               '2018-01-27 19:45:00', '2018-01-27 20:00:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=406, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-1-1T00 to 2018-01-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-01-10 09:00:00', '2018-01-10 09:15:00',
               '2018-01-10 09:30:00', '2018-01-10 09:45:00',
               '2018-01-10 10:00:00', '2018-01-10 10:15:00',
               '2018-01-10 10:30:00', '2018-01-10 10:45:00',
               '2018-01-10 11:00:00', '2018-01-10 11:15:00',
               ...
               '2018-01-31 20:45:00', '2018-01-31 21:00:00',
               '2018-01-31 21:15:00', '2018-01-31 21:30:00',
               '2018-01-31 21:45:00', '2018-01-31 22:00:00',
               '2018-01-31 22:15:00', '2018-01-31 22:30:00',
               '2018-01-31 22:45:00', '2018-01-31 23:00:00'],
              dtype='datetime64[ns]', length=2073, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00', '2018-01-03 15:45:00',
               '2018-01-03 16:00:00', '2018-01-03 16:15:00',
               '2018-01-03 16:30:00', '2018-01-03 16:45:00',
               '2018-01-03 17:00:00', '2018-01-03 17:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-1-1T00 to 2018-01-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-01-01 00:00:00', '2018-01-01 00:15:00',
               '2018-01-01 00:30:00', '2018-01-01 00:45:00',
               '2018-01-01 01:00:00', '2018-01-01 01:15:00',
               '2018-01-01 01:30:00', '2018-01-01 01:45:00',
               '2018-01-01 02:00:00', '2018-01-01 02:15:00',
               '2018-01-01 02:30:00', '2018-01-01 02:45:00',
               '2018-01-01 03:00:00', '2018-01-01 03:15:00',
               '2018-01-01 03:30:00', '2018-01-01 03:45:00',
               '2018-01-01 04:00:00', '2018-01-01 04:15:00',
               '2018-01-01 04:30:00', '2018-01-01 04:45:00',
               '2018-01-01 05:00:00', '2018-01-01 05:15:00',
               '2018-01-01 05:30:00', '2018-01-01 05:45:00',
               '2018-01-01 06:00:00', '2018-01-01 06:15:00',
               '2018-01-01 06:30:00', '2018-01-01 06:45:00',
               '2018-01-01 07:00:00', '2018-01-01 07:15:00',
               '2018-01-01 07:30:00', '2018-01-01 07:45:00',
               '2018-01-01 08:00:00', '2018-01-01 08:15:00',
               '2018-01-01 08:30:00', '2018-01-01 08:45:00',
               '2018-01-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-04 22:15:00', '2018-02-04 22:30:00',
               '2018-02-04 22:45:00', '2018-02-04 23:00:00',
               '2018-02-04 23:15:00', '2018-02-04 23:30:00',
               '2018-02-04 23:45:00', '2018-02-05 00:00:00',
               '2018-02-05 00:15:00', '2018-02-05 00:30:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2308, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-15 11:15:00', '2018-02-15 11:30:00',
               '2018-02-15 11:45:00', '2018-02-15 12:00:00',
               '2018-02-15 12:15:00', '2018-02-15 12:30:00',
               '2018-02-15 12:45:00', '2018-02-15 13:00:00',
               '2018-02-15 13:15:00', '2018-02-15 13:30:00'],
              dtype='datetime64[ns]', length=1399, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-17 08:15:00', '2018-02-17 08:30:00',
               '2018-02-17 08:45:00', '2018-02-17 09:00:00',
               '2018-02-17 09:15:00', '2018-02-17 09:30:00',
               '2018-02-17 09:45:00', '2018-02-17 10:00:00',
               '2018-02-17 10:15:00', '2018-02-17 10:30:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=385, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-20 04:30:00', '2018-02-20 04:45:00',
               '2018-02-20 05:00:00', '2018-02-20 05:15:00',
               '2018-02-20 05:30:00', '2018-02-20 05:45:00',
               '2018-02-20 06:00:00', '2018-02-20 06:15:00',
               '2018-02-20 06:30:00', '2018-02-20 06:45:00'],
              dtype='datetime64[ns]', length=1852, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-23 14:15:00', '2018-02-23 14:30:00',
               '2018-02-23 14:45:00', '2018-02-23 20:15:00',
               '2018-02-23 20:30:00', '2018-02-23 20:45:00',
               '2018-02-24 13:15:00', '2018-02-24 13:30:00',
               '2018-02-24 13:45:00', '2018-02-24 14:30:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=320, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-2-1T00 to 2018-02-28T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2685, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00', '2018-02-08 21:00:00',
               '2018-02-08 21:15:00', '2018-02-08 21:30:00',
               '2018-02-08 21:45:00', '2018-02-08 22:00:00',
               '2018-02-09 01:00:00', '2018-02-09 01:15:00',
               '2018-02-09 01:30:00', '2018-02-09 01:45:00',
               '2018-02-09 02:00:00', '2018-02-09 03:45:00',
               '2018-02-09 04:00:00', '2018-02-09 04:15:00',
               '2018-02-09 11:15:00', '2018-02-09 11:30:00',
               '2018-02-09 11:45:00', '2018-02-09 21:00:00',
               '2018-02-09 21:15:00', '2018-02-09 21:30:00',
               '2018-02-09 21:45:00', '2018-02-09 22:00:00',
               '2018-02-09 22:15:00', '2018-02-10 03:00:00',
               '2018-02-10 03:15:00', '2018-02-10 03:30:00',
               '2018-02-10 03:45:00', '2018-02-10 04:00:00',
               '2018-02-10 04:15:00', '2018-02-10 04:30:00',
               '2018-02-10 04:45:00', '2018-02-10 06:00:00',
               '2018-02-10 06:15:00', '2018-02-10 06:30:00',
               '2018-02-10 06:45:00', '2018-02-10 07:00:00',
               '2018-02-10 07:15:00', '2018-02-10 08:00:00',
               '2018-02-10 08:15:00', '2018-02-10 08:30:00',
               '2018-02-10 11:00:00', '2018-02-10 11:15:00',
               '2018-02-10 11:30:00', '2018-02-11 02:30:00',
               '2018-02-11 02:45:00', '2018-02-11 03:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-02-04 07:30:00', '2018-02-04 07:45:00',
               '2018-02-04 08:00:00', '2018-02-04 08:15:00',
               '2018-02-04 08:30:00', '2018-02-04 08:45:00',
               '2018-02-04 09:00:00', '2018-02-04 09:15:00',
               '2018-02-04 09:30:00', '2018-02-04 09:45:00',
               ...
               '2018-02-28 20:45:00', '2018-02-28 21:00:00',
               '2018-02-28 21:15:00', '2018-02-28 21:30:00',
               '2018-02-28 21:45:00', '2018-02-28 22:00:00',
               '2018-02-28 22:15:00', '2018-02-28 22:30:00',
               '2018-02-28 22:45:00', '2018-02-28 23:00:00'],
              dtype='datetime64[ns]', length=2367, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00', '2018-02-04 06:00:00',
               '2018-02-04 06:15:00', '2018-02-04 06:30:00',
               '2018-02-04 06:45:00', '2018-02-04 07:00:00',
               '2018-02-04 07:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00', '2018-02-08 21:00:00',
               '2018-02-08 21:15:00', '2018-02-08 21:30:00',
               '2018-02-08 21:45:00', '2018-02-08 22:00:00',
               '2018-02-09 01:00:00', '2018-02-09 01:15:00',
               '2018-02-09 01:30:00', '2018-02-09 01:45:00',
               '2018-02-09 02:00:00', '2018-02-09 03:45:00',
               '2018-02-09 04:00:00', '2018-02-09 04:15:00',
               '2018-02-09 11:15:00', '2018-02-09 11:30:00',
               '2018-02-09 11:45:00', '2018-02-09 21:00:00',
               '2018-02-09 21:15:00', '2018-02-09 21:30:00',
               '2018-02-09 21:45:00', '2018-02-09 22:00:00',
               '2018-02-09 22:15:00', '2018-02-10 03:00:00',
               '2018-02-10 03:15:00', '2018-02-10 03:30:00',
               '2018-02-10 03:45:00', '2018-02-10 04:00:00',
               '2018-02-10 04:15:00', '2018-02-10 04:30:00',
               '2018-02-10 04:45:00', '2018-02-10 06:00:00',
               '2018-02-10 06:15:00', '2018-02-10 06:30:00',
               '2018-02-10 06:45:00', '2018-02-10 07:00:00',
               '2018-02-10 07:15:00', '2018-02-10 08:00:00',
               '2018-02-10 08:15:00', '2018-02-10 08:30:00',
               '2018-02-10 11:00:00', '2018-02-10 11:15:00',
               '2018-02-10 11:30:00', '2018-02-11 02:30:00',
               '2018-02-11 02:45:00', '2018-02-11 03:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-2-1T00 to 2018-02-28T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-02-01 00:00:00', '2018-02-01 00:15:00',
               '2018-02-01 00:30:00', '2018-02-01 00:45:00',
               '2018-02-01 01:00:00', '2018-02-01 01:15:00',
               '2018-02-01 01:30:00', '2018-02-01 01:45:00',
               '2018-02-01 02:00:00', '2018-02-01 02:15:00',
               '2018-02-01 02:30:00', '2018-02-01 02:45:00',
               '2018-02-01 03:00:00', '2018-02-01 03:15:00',
               '2018-02-01 03:30:00', '2018-02-01 03:45:00',
               '2018-02-01 04:00:00', '2018-02-01 04:15:00',
               '2018-02-01 04:30:00', '2018-02-01 04:45:00',
               '2018-02-01 05:00:00', '2018-02-01 05:15:00',
               '2018-02-01 05:30:00', '2018-02-01 05:45:00',
               '2018-02-01 06:00:00', '2018-02-01 06:15:00',
               '2018-02-01 06:30:00', '2018-02-01 06:45:00',
               '2018-02-01 07:00:00', '2018-02-01 07:15:00',
               '2018-02-01 07:30:00', '2018-02-01 07:45:00',
               '2018-02-01 08:00:00', '2018-02-01 08:15:00',
               '2018-02-01 08:30:00', '2018-02-01 08:45:00',
               '2018-02-01 09:00:00', '2018-02-08 21:00:00',
               '2018-02-08 21:15:00', '2018-02-08 21:30:00',
               '2018-02-08 21:45:00', '2018-02-08 22:00:00',
               '2018-02-09 01:00:00', '2018-02-09 01:15:00',
               '2018-02-09 01:30:00', '2018-02-09 01:45:00',
               '2018-02-09 02:00:00', '2018-02-09 03:45:00',
               '2018-02-09 04:00:00', '2018-02-09 04:15:00',
               '2018-02-09 11:15:00', '2018-02-09 11:30:00',
               '2018-02-09 11:45:00', '2018-02-09 21:00:00',
               '2018-02-09 21:15:00', '2018-02-09 21:30:00',
               '2018-02-09 21:45:00', '2018-02-09 22:00:00',
               '2018-02-09 22:15:00', '2018-02-10 03:00:00',
               '2018-02-10 03:15:00', '2018-02-10 03:30:00',
               '2018-02-10 03:45:00', '2018-02-10 04:00:00',
               '2018-02-10 04:15:00', '2018-02-10 04:30:00',
               '2018-02-10 04:45:00', '2018-02-10 06:00:00',
               '2018-02-10 06:15:00', '2018-02-10 06:30:00',
               '2018-02-10 06:45:00', '2018-02-10 07:00:00',
               '2018-02-10 07:15:00', '2018-02-10 08:00:00',
               '2018-02-10 08:15:00', '2018-02-10 08:30:00',
               '2018-02-10 11:00:00', '2018-02-10 11:15:00',
               '2018-02-10 11:30:00', '2018-02-11 02:30:00',
               '2018-02-11 02:45:00', '2018-02-11 03:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-31 20:45:00', '2018-03-31 21:00:00',
               '2018-03-31 21:15:00', '2018-03-31 21:30:00',
               '2018-03-31 21:45:00', '2018-03-31 22:00:00',
               '2018-03-31 22:15:00', '2018-03-31 22:30:00',
               '2018-03-31 22:45:00', '2018-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-19 14:15:00', '2018-03-19 14:30:00',
               '2018-03-19 14:45:00', '2018-03-19 15:00:00',
               '2018-03-19 15:15:00', '2018-03-19 15:30:00',
               '2018-03-19 15:45:00', '2018-03-19 16:00:00',
               '2018-03-19 16:15:00', '2018-03-19 16:30:00'],
              dtype='datetime64[ns]', length=1795, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-26 05:15:00', '2018-03-26 05:30:00',
               '2018-03-26 05:45:00', '2018-03-26 06:00:00',
               '2018-03-26 06:15:00', '2018-03-26 06:30:00',
               '2018-03-26 06:45:00', '2018-03-26 07:00:00',
               '2018-03-26 07:15:00', '2018-03-26 07:30:00',
               ...
               '2018-03-29 10:00:00', '2018-03-29 10:15:00',
               '2018-03-29 10:30:00', '2018-03-29 10:45:00',
               '2018-03-29 11:00:00', '2018-03-29 11:15:00',
               '2018-03-29 11:30:00', '2018-03-29 11:45:00',
               '2018-03-29 12:00:00', '2018-03-29 12:15:00'],
              dtype='datetime64[ns]', length=317, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-20 21:30:00', '2018-03-20 21:45:00',
               '2018-03-20 22:00:00', '2018-03-20 22:15:00',
               '2018-03-20 22:30:00', '2018-03-20 22:45:00',
               '2018-03-20 23:00:00', '2018-03-20 23:15:00',
               '2018-03-20 23:30:00', '2018-03-20 23:45:00'],
              dtype='datetime64[ns]', length=1920, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-25 17:30:00', '2018-03-25 17:45:00',
               '2018-03-25 18:00:00', '2018-03-25 18:15:00',
               '2018-03-25 18:30:00', '2018-03-25 18:45:00',
               '2018-03-25 19:00:00', '2018-03-25 19:15:00',
               '2018-03-25 19:30:00', '2018-03-25 19:45:00',
               ...
               '2018-03-30 02:15:00', '2018-03-30 02:30:00',
               '2018-03-30 02:45:00', '2018-03-30 03:00:00',
               '2018-03-30 03:15:00', '2018-03-30 03:30:00',
               '2018-03-30 03:45:00', '2018-03-30 04:00:00',
               '2018-03-30 04:15:00', '2018-03-30 04:30:00'],
              dtype='datetime64[ns]', length=429, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-31 20:45:00', '2018-03-31 21:00:00',
               '2018-03-31 21:15:00', '2018-03-31 21:30:00',
               '2018-03-31 21:45:00', '2018-03-31 22:00:00',
               '2018-03-31 22:15:00', '2018-03-31 22:30:00',
               '2018-03-31 22:45:00', '2018-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00', '2018-03-01 19:00:00',
               '2018-03-01 19:15:00', '2018-03-01 19:30:00',
               '2018-03-01 19:45:00', '2018-03-01 20:00:00',
               '2018-03-01 20:15:00', '2018-03-01 21:00:00',
               '2018-03-01 21:15:00', '2018-03-01 21:30:00',
               '2018-03-01 21:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-31 20:45:00', '2018-03-31 21:00:00',
               '2018-03-31 21:15:00', '2018-03-31 21:30:00',
               '2018-03-31 21:45:00', '2018-03-31 22:00:00',
               '2018-03-31 22:15:00', '2018-03-31 22:30:00',
               '2018-03-31 22:45:00', '2018-03-31 23:00:00'],
              dtype='datetime64[ns]', length=1161, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-19 20:45:00', '2018-03-19 21:00:00',
               '2018-03-19 21:15:00', '2018-03-19 21:30:00',
               '2018-03-19 21:45:00', '2018-03-19 22:00:00',
               '2018-03-19 22:15:00', '2018-03-19 22:30:00',
               '2018-03-19 22:45:00', '2018-03-19 23:00:00'],
              dtype='datetime64[ns]', length=818, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-31 20:45:00', '2018-03-31 21:00:00',
               '2018-03-31 21:15:00', '2018-03-31 21:30:00',
               '2018-03-31 21:45:00', '2018-03-31 22:00:00',
               '2018-03-31 22:15:00', '2018-03-31 22:30:00',
               '2018-03-31 22:45:00', '2018-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-13 17:30:00', '2018-03-13 17:45:00',
               '2018-03-13 18:00:00', '2018-03-13 18:15:00',
               '2018-03-13 18:30:00', '2018-03-13 18:45:00',
               '2018-03-13 19:00:00', '2018-03-13 19:15:00',
               '2018-03-13 19:30:00', '2018-03-13 19:45:00'],
              dtype='datetime64[ns]', length=1232, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-31 20:45:00', '2018-03-31 21:00:00',
               '2018-03-31 21:15:00', '2018-03-31 21:30:00',
               '2018-03-31 21:45:00', '2018-03-31 22:00:00',
               '2018-03-31 22:15:00', '2018-03-31 22:30:00',
               '2018-03-31 22:45:00', '2018-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-31 20:45:00', '2018-03-31 21:00:00',
               '2018-03-31 21:15:00', '2018-03-31 21:30:00',
               '2018-03-31 21:45:00', '2018-03-31 22:00:00',
               '2018-03-31 22:15:00', '2018-03-31 22:30:00',
               '2018-03-31 22:45:00', '2018-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-3-1T00 to 2018-03-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-31 20:45:00', '2018-03-31 21:00:00',
               '2018-03-31 21:15:00', '2018-03-31 21:30:00',
               '2018-03-31 21:45:00', '2018-03-31 22:00:00',
               '2018-03-31 22:15:00', '2018-03-31 22:30:00',
               '2018-03-31 22:45:00', '2018-03-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00', '2018-03-22 15:15:00',
               '2018-03-22 15:30:00', '2018-03-22 15:45:00',
               '2018-03-22 16:00:00', '2018-03-22 16:15:00',
               '2018-03-22 16:30:00', '2018-03-22 16:45:00',
               '2018-03-22 17:00:00', '2018-03-22 17:15:00',
               '2018-03-22 17:30:00', '2018-03-22 17:45:00',
               '2018-03-22 18:00:00', '2018-03-22 18:15:00',
               '2018-03-22 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               ...
               '2018-03-16 22:30:00', '2018-03-16 22:45:00',
               '2018-03-16 23:00:00', '2018-03-16 23:15:00',
               '2018-03-16 23:30:00', '2018-03-16 23:45:00',
               '2018-03-17 00:00:00', '2018-03-17 00:15:00',
               '2018-03-17 00:30:00', '2018-03-17 00:45:00'],
              dtype='datetime64[ns]', length=1540, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-17 01:00:00', '2018-03-17 01:15:00',
               '2018-03-17 01:30:00', '2018-03-17 01:45:00',
               '2018-03-17 02:00:00', '2018-03-17 02:15:00',
               '2018-03-17 02:30:00', '2018-03-17 02:45:00',
               '2018-03-17 03:00:00', '2018-03-17 03:15:00',
               '2018-03-17 03:30:00', '2018-03-17 03:45:00',
               '2018-03-17 04:00:00', '2018-03-17 04:15:00',
               '2018-03-17 04:30:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00', '2018-03-14 23:00:00',
               '2018-03-14 23:15:00', '2018-03-14 23:30:00',
               '2018-03-14 23:45:00', '2018-03-15 00:00:00',
               '2018-03-15 00:15:00', '2018-03-15 00:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00', '2018-03-01 09:15:00',
               '2018-03-01 09:30:00', '2018-03-01 09:45:00',
               '2018-03-01 10:00:00', '2018-03-01 10:15:00',
               '2018-03-01 10:30:00', '2018-03-01 10:45:00',
               '2018-03-01 11:00:00', '2018-03-01 11:15:00',
               '2018-03-01 11:30:00', '2018-03-01 11:45:00',
               '2018-03-01 12:00:00', '2018-03-01 12:15:00',
               '2018-03-01 12:30:00', '2018-03-01 12:45:00',
               '2018-03-01 13:00:00', '2018-03-01 13:15:00',
               '2018-03-01 13:30:00', '2018-03-01 13:45:00',
               '2018-03-01 14:00:00', '2018-03-01 14:15:00',
               '2018-03-01 14:30:00', '2018-03-01 14:45:00',
               '2018-03-01 15:00:00', '2018-03-01 15:15:00',
               '2018-03-01 15:30:00', '2018-03-01 15:45:00',
               '2018-03-01 16:00:00', '2018-03-01 16:15:00',
               '2018-03-01 16:30:00', '2018-03-01 16:45:00',
               '2018-03-01 17:00:00', '2018-03-01 17:15:00',
               '2018-03-01 17:30:00', '2018-03-01 17:45:00',
               '2018-03-01 18:00:00', '2018-03-01 18:15:00',
               '2018-03-01 18:30:00', '2018-03-01 18:45:00',
               '2018-03-01 19:00:00', '2018-03-01 19:15:00',
               '2018-03-01 19:30:00', '2018-03-01 19:45:00',
               '2018-03-01 20:00:00', '2018-03-01 20:15:00',
               '2018-03-01 20:30:00', '2018-03-01 20:45:00',
               '2018-03-01 21:00:00', '2018-03-01 21:15:00',
               '2018-03-01 21:30:00', '2018-03-01 21:45:00',
               '2018-03-01 22:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00', '2018-03-22 15:15:00',
               '2018-03-22 15:30:00', '2018-03-22 15:45:00',
               '2018-03-22 16:00:00', '2018-03-22 16:15:00',
               '2018-03-22 16:30:00', '2018-03-22 16:45:00',
               '2018-03-22 17:00:00', '2018-03-22 17:15:00',
               '2018-03-22 17:30:00', '2018-03-22 17:45:00',
               '2018-03-22 18:00:00', '2018-03-22 18:15:00',
               '2018-03-22 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-3-1T00 to 2018-03-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-03-01 00:00:00', '2018-03-01 00:15:00',
               '2018-03-01 00:30:00', '2018-03-01 00:45:00',
               '2018-03-01 01:00:00', '2018-03-01 01:15:00',
               '2018-03-01 01:30:00', '2018-03-01 01:45:00',
               '2018-03-01 02:00:00', '2018-03-01 02:15:00',
               '2018-03-01 02:30:00', '2018-03-01 02:45:00',
               '2018-03-01 03:00:00', '2018-03-01 03:15:00',
               '2018-03-01 03:30:00', '2018-03-01 03:45:00',
               '2018-03-01 04:00:00', '2018-03-01 04:15:00',
               '2018-03-01 04:30:00', '2018-03-01 04:45:00',
               '2018-03-01 05:00:00', '2018-03-01 05:15:00',
               '2018-03-01 05:30:00', '2018-03-01 05:45:00',
               '2018-03-01 06:00:00', '2018-03-01 06:15:00',
               '2018-03-01 06:30:00', '2018-03-01 06:45:00',
               '2018-03-01 07:00:00', '2018-03-01 07:15:00',
               '2018-03-01 07:30:00', '2018-03-01 07:45:00',
               '2018-03-01 08:00:00', '2018-03-01 08:15:00',
               '2018-03-01 08:30:00', '2018-03-01 08:45:00',
               '2018-03-01 09:00:00', '2018-03-22 15:15:00',
               '2018-03-22 15:30:00', '2018-03-22 15:45:00',
               '2018-03-22 16:00:00', '2018-03-22 16:15:00',
               '2018-03-22 16:30:00', '2018-03-22 16:45:00',
               '2018-03-22 17:00:00', '2018-03-22 17:15:00',
               '2018-03-22 17:30:00', '2018-03-22 17:45:00',
               '2018-03-22 18:00:00', '2018-03-22 18:15:00',
               '2018-03-22 18:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-07 14:15:00', '2018-04-07 14:30:00',
               '2018-04-07 14:45:00', '2018-04-07 15:00:00',
               '2018-04-07 15:15:00', '2018-04-07 15:30:00',
               '2018-04-07 15:45:00', '2018-04-07 16:00:00',
               '2018-04-07 16:15:00', '2018-04-07 16:30:00'],
              dtype='datetime64[ns]', length=643, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00', '2018-04-19 22:15:00',
               '2018-04-19 22:30:00', '2018-04-19 22:45:00',
               '2018-04-19 23:00:00', '2018-04-24 04:15:00',
               '2018-04-24 04:30:00', '2018-04-24 04:45:00',
               '2018-04-24 05:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-13 13:45:00', '2018-04-13 14:00:00',
               '2018-04-13 14:15:00', '2018-04-13 14:30:00',
               '2018-04-13 14:45:00', '2018-04-13 15:00:00',
               '2018-04-13 15:15:00', '2018-04-13 15:30:00',
               '2018-04-13 15:45:00', '2018-04-13 16:00:00'],
              dtype='datetime64[ns]', length=1217, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-16 21:45:00', '2018-04-16 22:00:00',
               '2018-04-16 22:15:00', '2018-04-16 22:45:00',
               '2018-04-16 23:00:00', '2018-04-16 23:15:00',
               '2018-04-16 23:30:00', '2018-04-16 23:45:00',
               '2018-04-17 00:00:00', '2018-04-17 00:15:00',
               '2018-04-17 00:30:00', '2018-04-17 00:45:00',
               '2018-04-17 01:00:00', '2018-04-17 01:15:00',
               '2018-04-21 16:45:00', '2018-04-21 17:00:00',
               '2018-04-21 17:15:00', '2018-04-24 02:30:00',
               '2018-04-24 02:45:00', '2018-04-24 03:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-30 20:45:00', '2018-04-30 21:00:00',
               '2018-04-30 21:15:00', '2018-04-30 21:30:00',
               '2018-04-30 21:45:00', '2018-04-30 22:00:00',
               '2018-04-30 22:15:00', '2018-04-30 22:30:00',
               '2018-04-30 22:45:00', '2018-04-30 23:00:00'],
              dtype='datetime64[ns]', length=2877, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-22 18:30:00', '2018-04-22 18:45:00',
               '2018-04-22 19:00:00', '2018-04-22 19:15:00',
               '2018-04-22 19:30:00', '2018-04-22 19:45:00',
               '2018-04-22 20:00:00', '2018-04-22 20:15:00',
               '2018-04-22 20:30:00', '2018-04-22 20:45:00'],
              dtype='datetime64[ns]', length=2100, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-24 12:30:00', '2018-04-24 12:45:00',
               '2018-04-24 13:00:00', '2018-04-24 13:15:00',
               '2018-04-24 13:30:00', '2018-04-24 13:45:00',
               '2018-04-24 14:00:00', '2018-04-24 14:15:00',
               '2018-04-24 14:30:00', '2018-04-24 14:45:00'],
              dtype='datetime64[ns]', length=2268, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-25 00:30:00', '2018-04-25 00:45:00',
               '2018-04-25 01:00:00', '2018-04-25 01:15:00',
               '2018-04-25 01:30:00', '2018-04-25 01:45:00',
               '2018-04-25 02:00:00', '2018-04-25 02:15:00',
               '2018-04-25 02:30:00', '2018-04-25 02:45:00'],
              dtype='datetime64[ns]', length=2316, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-18 13:45:00', '2018-04-18 14:00:00',
               '2018-04-19 12:45:00', '2018-04-19 13:00:00',
               '2018-04-19 13:15:00', '2018-04-19 13:30:00',
               '2018-04-19 13:45:00', '2018-04-19 14:00:00',
               '2018-04-19 14:15:00', '2018-04-19 14:30:00'],
              dtype='datetime64[ns]', length=104, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-09 07:00:00', '2018-04-09 07:15:00',
               '2018-04-09 07:30:00', '2018-04-09 07:45:00',
               '2018-04-09 08:00:00', '2018-04-09 08:15:00',
               '2018-04-09 08:30:00', '2018-04-09 08:45:00',
               '2018-04-09 09:00:00', '2018-04-09 09:15:00'],
              dtype='datetime64[ns]', length=806, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-06 20:00:00', '2018-04-06 20:15:00',
               '2018-04-06 20:30:00', '2018-04-06 20:45:00',
               '2018-04-06 21:00:00', '2018-04-06 21:15:00',
               '2018-04-06 21:30:00', '2018-04-06 21:45:00',
               '2018-04-06 22:00:00', '2018-04-06 22:15:00'],
              dtype='datetime64[ns]', length=570, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-23 10:45:00', '2018-04-23 11:00:00',
               '2018-04-23 11:15:00', '2018-04-23 11:30:00',
               '2018-04-23 11:45:00', '2018-04-23 12:00:00',
               '2018-04-23 12:15:00', '2018-04-23 12:30:00',
               '2018-04-23 12:45:00', '2018-04-23 13:00:00'],
              dtype='datetime64[ns]', length=2165, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-06 17:15:00', '2018-04-06 17:30:00',
               '2018-04-06 17:45:00', '2018-04-06 18:00:00',
               '2018-04-06 18:15:00', '2018-04-06 18:30:00',
               '2018-04-06 18:45:00', '2018-04-06 19:00:00',
               '2018-04-06 19:15:00', '2018-04-06 19:30:00',
               ...
               '2018-04-30 20:45:00', '2018-04-30 21:00:00',
               '2018-04-30 21:15:00', '2018-04-30 21:30:00',
               '2018-04-30 21:45:00', '2018-04-30 22:00:00',
               '2018-04-30 22:15:00', '2018-04-30 22:30:00',
               '2018-04-30 22:45:00', '2018-04-30 23:00:00'],
              dtype='datetime64[ns]', length=2328, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-06 14:45:00', '2018-04-06 15:00:00',
               '2018-04-06 15:15:00', '2018-04-06 15:30:00',
               '2018-04-06 15:45:00', '2018-04-06 16:00:00',
               '2018-04-06 16:15:00', '2018-04-06 16:30:00',
               '2018-04-06 16:45:00', '2018-04-06 17:00:00'],
              dtype='datetime64[ns]', length=549, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-4-1T00 to 2018-04-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               ...
               '2018-04-15 17:00:00', '2018-04-15 17:15:00',
               '2018-04-15 17:30:00', '2018-04-15 17:45:00',
               '2018-04-15 18:00:00', '2018-04-15 18:15:00',
               '2018-04-15 18:30:00', '2018-04-15 18:45:00',
               '2018-04-15 19:00:00', '2018-04-15 19:15:00'],
              dtype='datetime64[ns]', length=1422, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-4-1T00 to 2018-04-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-04-01 00:00:00', '2018-04-01 00:15:00',
               '2018-04-01 00:30:00', '2018-04-01 00:45:00',
               '2018-04-01 01:00:00', '2018-04-01 01:15:00',
               '2018-04-01 01:30:00', '2018-04-01 01:45:00',
               '2018-04-01 02:00:00', '2018-04-01 02:15:00',
               '2018-04-01 02:30:00', '2018-04-01 02:45:00',
               '2018-04-01 03:00:00', '2018-04-01 03:15:00',
               '2018-04-01 03:30:00', '2018-04-01 03:45:00',
               '2018-04-01 04:00:00', '2018-04-01 04:15:00',
               '2018-04-01 04:30:00', '2018-04-01 04:45:00',
               '2018-04-01 05:00:00', '2018-04-01 05:15:00',
               '2018-04-01 05:30:00', '2018-04-01 05:45:00',
               '2018-04-01 06:00:00', '2018-04-01 06:15:00',
               '2018-04-01 06:30:00', '2018-04-01 06:45:00',
               '2018-04-01 07:00:00', '2018-04-01 07:15:00',
               '2018-04-01 07:30:00', '2018-04-01 07:45:00',
               '2018-04-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00', '2018-05-20 00:30:00',
               '2018-05-20 00:45:00', '2018-05-20 01:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00', '2018-05-16 11:00:00',
               '2018-05-16 11:15:00', '2018-05-16 11:30:00',
               '2018-05-16 11:45:00', '2018-05-16 12:00:00',
               '2018-05-16 12:15:00', '2018-05-16 12:30:00',
               '2018-05-16 12:45:00', '2018-05-17 12:00:00',
               '2018-05-17 12:15:00', '2018-05-17 12:30:00',
               '2018-05-17 12:45:00', '2018-05-17 13:00:00',
               '2018-05-17 13:15:00', '2018-05-17 13:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               ...
               '2018-05-10 19:00:00', '2018-05-10 19:15:00',
               '2018-05-10 19:30:00', '2018-05-10 19:45:00',
               '2018-05-10 20:00:00', '2018-05-10 20:15:00',
               '2018-05-10 20:30:00', '2018-05-10 20:45:00',
               '2018-05-10 21:00:00', '2018-05-10 21:15:00'],
              dtype='datetime64[ns]', length=950, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-11 14:00:00', '2018-05-11 14:15:00',
               '2018-05-11 14:30:00', '2018-05-11 14:45:00',
               '2018-05-11 15:00:00', '2018-05-11 15:15:00',
               '2018-05-11 15:30:00', '2018-05-11 15:45:00',
               '2018-05-11 16:00:00', '2018-05-11 16:15:00',
               ...
               '2018-05-12 15:45:00', '2018-05-12 16:00:00',
               '2018-05-12 16:15:00', '2018-05-12 16:30:00',
               '2018-05-12 16:45:00', '2018-05-12 17:00:00',
               '2018-05-12 17:15:00', '2018-05-12 17:30:00',
               '2018-05-12 17:45:00', '2018-05-12 18:00:00'],
              dtype='datetime64[ns]', length=113, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-5-1T00 to 2018-05-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00', '2018-05-29 18:00:00',
               '2018-05-29 18:15:00', '2018-05-29 18:30:00',
               '2018-05-29 18:45:00', '2018-05-29 19:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00', '2018-05-18 01:00:00',
               '2018-05-18 01:15:00', '2018-05-18 01:30:00',
               '2018-05-18 01:45:00', '2018-05-18 02:00:00',
               '2018-05-18 02:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-5-1T00 to 2018-05-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-05-01 00:00:00', '2018-05-01 00:15:00',
               '2018-05-01 00:30:00', '2018-05-01 00:45:00',
               '2018-05-01 01:00:00', '2018-05-01 01:15:00',
               '2018-05-01 01:30:00', '2018-05-01 01:45:00',
               '2018-05-01 02:00:00', '2018-05-01 02:15:00',
               '2018-05-01 02:30:00', '2018-05-01 02:45:00',
               '2018-05-01 03:00:00', '2018-05-01 03:15:00',
               '2018-05-01 03:30:00', '2018-05-01 03:45:00',
               '2018-05-01 04:00:00', '2018-05-01 04:15:00',
               '2018-05-01 04:30:00', '2018-05-01 04:45:00',
               '2018-05-01 05:00:00', '2018-05-01 05:15:00',
               '2018-05-01 05:30:00', '2018-05-01 05:45:00',
               '2018-05-01 06:00:00', '2018-05-01 06:15:00',
               '2018-05-01 06:30:00', '2018-05-01 06:45:00',
               '2018-05-01 07:00:00', '2018-05-01 07:15:00',
               '2018-05-01 07:30:00', '2018-05-01 07:45:00',
               '2018-05-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               ...
               '2018-06-30 20:45:00', '2018-06-30 21:00:00',
               '2018-06-30 21:15:00', '2018-06-30 21:30:00',
               '2018-06-30 21:45:00', '2018-06-30 22:00:00',
               '2018-06-30 22:15:00', '2018-06-30 22:30:00',
               '2018-06-30 22:45:00', '2018-06-30 23:00:00'],
              dtype='datetime64[ns]', length=165, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00', '2018-06-14 10:30:00',
               '2018-06-14 10:45:00', '2018-06-14 11:00:00',
               '2018-06-14 11:15:00', '2018-06-14 11:30:00',
               '2018-06-14 11:45:00', '2018-06-14 12:00:00',
               '2018-06-14 12:15:00', '2018-06-14 12:30:00',
               '2018-06-14 12:45:00', '2018-06-15 11:30:00',
               '2018-06-15 11:45:00', '2018-06-15 12:00:00',
               '2018-06-15 12:15:00', '2018-06-15 12:30:00',
               '2018-06-15 12:45:00', '2018-06-15 13:00:00',
               '2018-06-15 13:15:00', '2018-06-15 13:30:00',
               '2018-06-16 12:15:00', '2018-06-16 12:30:00',
               '2018-06-16 12:45:00', '2018-06-16 13:00:00',
               '2018-06-16 13:15:00', '2018-06-16 13:30:00',
               '2018-06-16 13:45:00', '2018-06-16 14:00:00',
               '2018-06-16 14:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-6-1T00 to 2018-06-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-6-1T00 to 2018-06-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-06-01 00:00:00', '2018-06-01 00:15:00',
               '2018-06-01 00:30:00', '2018-06-01 00:45:00',
               '2018-06-01 01:00:00', '2018-06-01 01:15:00',
               '2018-06-01 01:30:00', '2018-06-01 01:45:00',
               '2018-06-01 02:00:00', '2018-06-01 02:15:00',
               '2018-06-01 02:30:00', '2018-06-01 02:45:00',
               '2018-06-01 03:00:00', '2018-06-01 03:15:00',
               '2018-06-01 03:30:00', '2018-06-01 03:45:00',
               '2018-06-01 04:00:00', '2018-06-01 04:15:00',
               '2018-06-01 04:30:00', '2018-06-01 04:45:00',
               '2018-06-01 05:00:00', '2018-06-01 05:15:00',
               '2018-06-01 05:30:00', '2018-06-01 05:45:00',
               '2018-06-01 06:00:00', '2018-06-01 06:15:00',
               '2018-06-01 06:30:00', '2018-06-01 06:45:00',
               '2018-06-01 07:00:00', '2018-06-01 07:15:00',
               '2018-06-01 07:30:00', '2018-06-01 07:45:00',
               '2018-06-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00', '2018-07-25 22:45:00',
               '2018-07-25 23:00:00', '2018-07-25 23:15:00',
               '2018-07-25 23:30:00', '2018-07-31 15:15:00',
               '2018-07-31 15:30:00', '2018-07-31 15:45:00',
               '2018-07-31 16:00:00', '2018-07-31 16:15:00',
               '2018-07-31 16:30:00', '2018-07-31 16:45:00',
               '2018-07-31 17:00:00', '2018-07-31 17:15:00',
               '2018-07-31 18:15:00', '2018-07-31 18:30:00',
               '2018-07-31 18:45:00', '2018-07-31 19:00:00',
               '2018-07-31 19:15:00', '2018-07-31 19:30:00',
               '2018-07-31 19:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00', '2018-07-13 19:45:00',
               '2018-07-13 20:00:00', '2018-07-13 20:15:00',
               '2018-07-13 20:30:00', '2018-07-13 20:45:00',
               '2018-07-13 21:00:00', '2018-07-13 21:15:00',
               '2018-07-13 21:30:00', '2018-07-13 21:45:00',
               '2018-07-13 22:00:00', '2018-07-13 22:15:00',
               '2018-07-13 22:30:00', '2018-07-13 22:45:00',
               '2018-07-13 23:00:00', '2018-07-13 23:15:00',
               '2018-07-13 23:30:00', '2018-07-13 23:45:00',
               '2018-07-14 00:00:00', '2018-07-14 00:15:00',
               '2018-07-14 00:30:00', '2018-07-14 00:45:00',
               '2018-07-14 01:00:00', '2018-07-14 01:15:00',
               '2018-07-14 01:30:00', '2018-07-14 01:45:00',
               '2018-07-14 02:00:00', '2018-07-14 02:15:00',
               '2018-07-14 02:30:00', '2018-07-14 02:45:00',
               '2018-07-14 22:45:00', '2018-07-14 23:00:00',
               '2018-07-14 23:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               ...
               '2018-07-02 17:30:00', '2018-07-02 17:45:00',
               '2018-07-02 18:00:00', '2018-07-02 18:15:00',
               '2018-07-02 18:30:00', '2018-07-02 18:45:00',
               '2018-07-02 19:00:00', '2018-07-02 19:15:00',
               '2018-07-02 19:30:00', '2018-07-02 19:45:00'],
              dtype='datetime64[ns]', length=176, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00', '2018-07-13 10:15:00',
               '2018-07-13 10:30:00', '2018-07-13 10:45:00',
               '2018-07-13 11:00:00', '2018-07-13 11:15:00',
               '2018-07-13 11:30:00', '2018-07-13 11:45:00',
               '2018-07-13 12:00:00', '2018-07-13 12:15:00',
               '2018-07-13 12:30:00', '2018-07-14 11:00:00',
               '2018-07-14 11:15:00', '2018-07-14 11:30:00',
               '2018-07-14 11:45:00', '2018-07-14 12:00:00',
               '2018-07-14 12:15:00', '2018-07-14 12:30:00',
               '2018-07-14 12:45:00', '2018-07-14 13:00:00',
               '2018-07-14 13:15:00', '2018-07-14 13:30:00',
               '2018-07-15 11:45:00', '2018-07-15 12:00:00',
               '2018-07-15 12:15:00', '2018-07-15 12:30:00',
               '2018-07-15 12:45:00', '2018-07-15 13:00:00',
               '2018-07-15 13:15:00', '2018-07-15 13:30:00',
               '2018-07-15 13:45:00', '2018-07-15 14:00:00',
               '2018-07-15 14:15:00', '2018-07-15 14:30:00',
               '2018-07-16 13:00:00', '2018-07-16 13:15:00',
               '2018-07-16 13:30:00', '2018-07-16 13:45:00',
               '2018-07-16 14:00:00', '2018-07-16 14:15:00',
               '2018-07-16 14:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-7-1T00 to 2018-07-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00', '2018-07-03 17:15:00',
               '2018-07-03 17:30:00', '2018-07-03 17:45:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-7-1T00 to 2018-07-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-07-01 00:00:00', '2018-07-01 00:15:00',
               '2018-07-01 00:30:00', '2018-07-01 00:45:00',
               '2018-07-01 01:00:00', '2018-07-01 01:15:00',
               '2018-07-01 01:30:00', '2018-07-01 01:45:00',
               '2018-07-01 02:00:00', '2018-07-01 02:15:00',
               '2018-07-01 02:30:00', '2018-07-01 02:45:00',
               '2018-07-01 03:00:00', '2018-07-01 03:15:00',
               '2018-07-01 03:30:00', '2018-07-01 03:45:00',
               '2018-07-01 04:00:00', '2018-07-01 04:15:00',
               '2018-07-01 04:30:00', '2018-07-01 04:45:00',
               '2018-07-01 05:00:00', '2018-07-01 05:15:00',
               '2018-07-01 05:30:00', '2018-07-01 05:45:00',
               '2018-07-01 06:00:00', '2018-07-01 06:15:00',
               '2018-07-01 06:30:00', '2018-07-01 06:45:00',
               '2018-07-01 07:00:00', '2018-07-01 07:15:00',
               '2018-07-01 07:30:00', '2018-07-01 07:45:00',
               '2018-07-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00', '2018-08-09 02:00:00',
               '2018-08-09 02:15:00', '2018-08-09 02:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00', '2018-08-11 10:00:00',
               '2018-08-11 10:15:00', '2018-08-11 10:30:00',
               '2018-08-11 10:45:00', '2018-08-11 11:00:00',
               '2018-08-11 11:15:00', '2018-08-11 11:30:00',
               '2018-08-11 11:45:00', '2018-08-11 12:00:00',
               '2018-08-11 12:15:00', '2018-08-12 10:45:00',
               '2018-08-12 11:00:00', '2018-08-12 11:15:00',
               '2018-08-12 11:30:00', '2018-08-12 11:45:00',
               '2018-08-12 12:00:00', '2018-08-12 12:15:00',
               '2018-08-12 12:30:00', '2018-08-12 12:45:00',
               '2018-08-12 13:00:00', '2018-08-12 13:15:00',
               '2018-08-12 13:30:00', '2018-08-13 11:30:00',
               '2018-08-13 11:45:00', '2018-08-13 12:00:00',
               '2018-08-13 12:15:00', '2018-08-13 12:30:00',
               '2018-08-13 12:45:00', '2018-08-13 13:00:00',
               '2018-08-13 13:15:00', '2018-08-13 13:30:00',
               '2018-08-13 13:45:00', '2018-08-13 14:00:00',
               '2018-08-13 14:15:00', '2018-08-14 00:30:00',
               '2018-08-14 00:45:00', '2018-08-14 01:00:00',
               '2018-08-14 01:15:00', '2018-08-14 01:30:00',
               '2018-08-14 01:45:00', '2018-08-14 02:00:00',
               '2018-08-14 02:15:00', '2018-08-14 02:30:00',
               '2018-08-14 12:30:00', '2018-08-14 12:45:00',
               '2018-08-14 13:00:00', '2018-08-14 13:15:00',
               '2018-08-14 13:30:00', '2018-08-14 13:45:00',
               '2018-08-14 14:00:00', '2018-08-14 14:15:00',
               '2018-08-14 14:30:00', '2018-08-15 02:15:00',
               '2018-08-15 02:30:00', '2018-08-15 02:45:00',
               '2018-08-15 03:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-8-1T00 to 2018-08-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00', '2018-08-06 14:15:00',
               '2018-08-06 14:30:00', '2018-08-06 14:45:00',
               '2018-08-06 15:00:00', '2018-08-06 15:15:00',
               '2018-08-06 15:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-8-1T00 to 2018-08-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-08-01 00:00:00', '2018-08-01 00:15:00',
               '2018-08-01 00:30:00', '2018-08-01 00:45:00',
               '2018-08-01 01:00:00', '2018-08-01 01:15:00',
               '2018-08-01 01:30:00', '2018-08-01 01:45:00',
               '2018-08-01 02:00:00', '2018-08-01 02:15:00',
               '2018-08-01 02:30:00', '2018-08-01 02:45:00',
               '2018-08-01 03:00:00', '2018-08-01 03:15:00',
               '2018-08-01 03:30:00', '2018-08-01 03:45:00',
               '2018-08-01 04:00:00', '2018-08-01 04:15:00',
               '2018-08-01 04:30:00', '2018-08-01 04:45:00',
               '2018-08-01 05:00:00', '2018-08-01 05:15:00',
               '2018-08-01 05:30:00', '2018-08-01 05:45:00',
               '2018-08-01 06:00:00', '2018-08-01 06:15:00',
               '2018-08-01 06:30:00', '2018-08-01 06:45:00',
               '2018-08-01 07:00:00', '2018-08-01 07:15:00',
               '2018-08-01 07:30:00', '2018-08-01 07:45:00',
               '2018-08-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00', '2018-09-10 21:30:00',
               '2018-09-10 21:45:00', '2018-09-10 22:00:00',
               '2018-09-13 20:00:00', '2018-09-13 20:15:00',
               '2018-09-13 20:30:00', '2018-09-13 20:45:00',
               '2018-09-13 21:00:00', '2018-09-13 21:15:00',
               '2018-09-13 21:30:00', '2018-09-13 21:45:00',
               '2018-09-27 22:30:00', '2018-09-27 22:45:00',
               '2018-09-27 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00', '2018-09-12 21:00:00',
               '2018-09-12 21:15:00', '2018-09-12 21:30:00',
               '2018-09-12 21:45:00', '2018-09-12 22:00:00',
               '2018-09-12 22:15:00', '2018-09-12 22:30:00',
               '2018-09-12 22:45:00', '2018-09-12 23:00:00',
               '2018-09-12 23:15:00', '2018-09-12 23:30:00',
               '2018-09-12 23:45:00', '2018-09-13 00:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00', '2018-09-09 10:15:00',
               '2018-09-09 10:30:00', '2018-09-09 10:45:00',
               '2018-09-09 11:00:00', '2018-09-09 11:15:00',
               '2018-09-09 11:30:00', '2018-09-09 11:45:00',
               '2018-09-09 23:45:00', '2018-09-10 00:00:00',
               '2018-09-10 00:15:00', '2018-09-10 00:30:00',
               '2018-09-10 10:45:00', '2018-09-10 11:00:00',
               '2018-09-10 11:15:00', '2018-09-10 11:30:00',
               '2018-09-10 11:45:00', '2018-09-10 12:00:00',
               '2018-09-10 12:15:00', '2018-09-10 12:30:00',
               '2018-09-10 12:45:00', '2018-09-10 13:00:00',
               '2018-09-10 13:15:00', '2018-09-10 23:15:00',
               '2018-09-10 23:30:00', '2018-09-10 23:45:00',
               '2018-09-11 00:00:00', '2018-09-11 00:15:00',
               '2018-09-11 00:30:00', '2018-09-11 00:45:00',
               '2018-09-11 01:00:00', '2018-09-11 01:15:00',
               '2018-09-11 01:30:00', '2018-09-11 01:45:00',
               '2018-09-11 11:30:00', '2018-09-11 11:45:00',
               '2018-09-11 12:00:00', '2018-09-11 12:15:00',
               '2018-09-11 12:30:00', '2018-09-11 12:45:00',
               '2018-09-11 13:00:00', '2018-09-11 13:15:00',
               '2018-09-11 13:30:00', '2018-09-12 00:00:00',
               '2018-09-12 00:15:00', '2018-09-12 00:30:00',
               '2018-09-12 00:45:00', '2018-09-12 01:00:00',
               '2018-09-12 01:15:00', '2018-09-12 01:30:00',
               '2018-09-12 01:45:00', '2018-09-12 02:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-9-1T00 to 2018-09-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-9-1T00 to 2018-09-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-09-01 00:00:00', '2018-09-01 00:15:00',
               '2018-09-01 00:30:00', '2018-09-01 00:45:00',
               '2018-09-01 01:00:00', '2018-09-01 01:15:00',
               '2018-09-01 01:30:00', '2018-09-01 01:45:00',
               '2018-09-01 02:00:00', '2018-09-01 02:15:00',
               '2018-09-01 02:30:00', '2018-09-01 02:45:00',
               '2018-09-01 03:00:00', '2018-09-01 03:15:00',
               '2018-09-01 03:30:00', '2018-09-01 03:45:00',
               '2018-09-01 04:00:00', '2018-09-01 04:15:00',
               '2018-09-01 04:30:00', '2018-09-01 04:45:00',
               '2018-09-01 05:00:00', '2018-09-01 05:15:00',
               '2018-09-01 05:30:00', '2018-09-01 05:45:00',
               '2018-09-01 06:00:00', '2018-09-01 06:15:00',
               '2018-09-01 06:30:00', '2018-09-01 06:45:00',
               '2018-09-01 07:00:00', '2018-09-01 07:15:00',
               '2018-09-01 07:30:00', '2018-09-01 07:45:00',
               '2018-09-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-03 17:15:00',
               '2018-10-03 17:30:00', '2018-10-03 17:45:00',
               '2018-10-24 19:15:00', '2018-10-24 19:30:00',
               '2018-10-24 19:45:00', '2018-10-25 22:45:00',
               '2018-10-25 23:00:00', '2018-10-25 23:15:00',
               '2018-10-31 20:30:00', '2018-10-31 20:45:00',
               '2018-10-31 21:00:00', '2018-10-31 21:15:00',
               '2018-10-31 21:30:00', '2018-10-31 21:45:00',
               '2018-10-31 22:00:00', '2018-10-31 22:15:00',
               '2018-10-31 22:30:00', '2018-10-31 22:45:00',
               '2018-10-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-31 20:15:00',
               '2018-10-31 20:30:00', '2018-10-31 20:45:00',
               '2018-10-31 21:00:00', '2018-10-31 21:15:00',
               '2018-10-31 21:30:00', '2018-10-31 21:45:00',
               '2018-10-31 22:00:00', '2018-10-31 22:15:00',
               '2018-10-31 22:30:00', '2018-10-31 22:45:00',
               '2018-10-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-30 08:45:00',
               '2018-10-30 09:00:00', '2018-10-30 09:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               ...
               '2018-10-31 20:45:00', '2018-10-31 21:00:00',
               '2018-10-31 21:15:00', '2018-10-31 21:30:00',
               '2018-10-31 21:45:00', '2018-10-31 22:00:00',
               '2018-10-31 22:15:00', '2018-10-31 22:30:00',
               '2018-10-31 22:45:00', '2018-10-31 23:00:00'],
              dtype='datetime64[ns]', length=141, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-29 19:15:00',
               '2018-10-29 19:30:00', '2018-10-29 19:45:00',
               '2018-10-29 20:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               ...
               '2018-10-28 00:45:00', '2018-10-28 01:00:00',
               '2018-10-28 01:15:00', '2018-10-28 01:30:00',
               '2018-10-28 01:45:00', '2018-10-28 02:00:00',
               '2018-10-29 20:15:00', '2018-10-29 20:30:00',
               '2018-10-29 20:45:00', '2018-10-29 21:00:00'],
              dtype='datetime64[ns]', length=120, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-31 14:45:00',
               '2018-10-31 15:00:00', '2018-10-31 15:15:00',
               '2018-10-31 15:30:00', '2018-10-31 15:45:00',
               '2018-10-31 16:00:00', '2018-10-31 16:15:00',
               '2018-10-31 16:30:00', '2018-10-31 16:45:00',
               '2018-10-31 17:00:00', '2018-10-31 17:15:00',
               '2018-10-31 17:30:00', '2018-10-31 17:45:00',
               '2018-10-31 18:00:00', '2018-10-31 18:15:00',
               '2018-10-31 18:30:00', '2018-10-31 18:45:00',
               '2018-10-31 19:00:00', '2018-10-31 19:15:00',
               '2018-10-31 19:30:00', '2018-10-31 19:45:00',
               '2018-10-31 20:00:00', '2018-10-31 20:15:00',
               '2018-10-31 20:30:00', '2018-10-31 20:45:00',
               '2018-10-31 21:00:00', '2018-10-31 21:15:00',
               '2018-10-31 21:30:00', '2018-10-31 21:45:00',
               '2018-10-31 22:00:00', '2018-10-31 22:15:00',
               '2018-10-31 22:30:00', '2018-10-31 22:45:00',
               '2018-10-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-31 22:00:00',
               '2018-10-31 22:15:00', '2018-10-31 22:30:00',
               '2018-10-31 22:45:00', '2018-10-31 23:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-10-1T00 to 2018-10-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               ...
               '2018-10-31 20:45:00', '2018-10-31 21:00:00',
               '2018-10-31 21:15:00', '2018-10-31 21:30:00',
               '2018-10-31 21:45:00', '2018-10-31 22:00:00',
               '2018-10-31 22:15:00', '2018-10-31 22:30:00',
               '2018-10-31 22:45:00', '2018-10-31 23:00:00'],
              dtype='datetime64[ns]', length=128, freq=None).
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-29 19:15:00',
               '2018-10-29 19:30:00', '2018-10-29 19:45:00',
               '2018-10-29 20:00:00', '2018-10-29 20:15:00',
               '2018-10-29 20:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00', '2018-10-01 08:15:00',
               '2018-10-01 08:30:00', '2018-10-01 08:45:00',
               '2018-10-01 09:00:00', '2018-10-29 20:15:00',
               '2018-10-29 20:30:00', '2018-10-29 20:45:00',
               '2018-10-29 21:00:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-10-1T00 to 2018-10-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-10-01 00:00:00', '2018-10-01 00:15:00',
               '2018-10-01 00:30:00', '2018-10-01 00:45:00',
               '2018-10-01 01:00:00', '2018-10-01 01:15:00',
               '2018-10-01 01:30:00', '2018-10-01 01:45:00',
               '2018-10-01 02:00:00', '2018-10-01 02:15:00',
               '2018-10-01 02:30:00', '2018-10-01 02:45:00',
               '2018-10-01 03:00:00', '2018-10-01 03:15:00',
               '2018-10-01 03:30:00', '2018-10-01 03:45:00',
               '2018-10-01 04:00:00', '2018-10-01 04:15:00',
               '2018-10-01 04:30:00', '2018-10-01 04:45:00',
               '2018-10-01 05:00:00', '2018-10-01 05:15:00',
               '2018-10-01 05:30:00', '2018-10-01 05:45:00',
               '2018-10-01 06:00:00', '2018-10-01 06:15:00',
               '2018-10-01 06:30:00', '2018-10-01 06:45:00',
               '2018-10-01 07:00:00', '2018-10-01 07:15:00',
               '2018-10-01 07:30:00', '2018-10-01 07:45:00',
               '2018-10-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-25 20:00:00', '2018-11-25 20:15:00',
               '2018-11-25 20:30:00', '2018-11-25 20:45:00',
               '2018-11-25 21:00:00', '2018-11-25 21:15:00',
               '2018-11-25 21:30:00', '2018-11-25 21:45:00',
               '2018-11-25 22:00:00', '2018-11-25 22:15:00'],
              dtype='datetime64[ns]', length=1110, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-09 17:30:00', '2018-11-09 17:45:00',
               '2018-11-09 18:00:00', '2018-11-09 18:15:00',
               '2018-11-09 18:30:00', '2018-11-09 18:45:00',
               '2018-11-09 19:00:00', '2018-11-09 19:15:00',
               '2018-11-09 19:30:00', '2018-11-09 19:45:00'],
              dtype='datetime64[ns]', length=848, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-15 17:00:00', '2018-11-15 17:15:00',
               '2018-11-15 17:30:00', '2018-11-15 17:45:00',
               '2018-11-15 18:00:00', '2018-11-15 18:15:00',
               '2018-11-15 18:30:00', '2018-11-15 18:45:00',
               '2018-11-15 19:00:00', '2018-11-15 19:15:00',
               ...
               '2018-11-27 02:30:00', '2018-11-27 02:45:00',
               '2018-11-27 03:00:00', '2018-11-27 03:15:00',
               '2018-11-27 03:30:00', '2018-11-27 03:45:00',
               '2018-11-27 04:00:00', '2018-11-27 04:15:00',
               '2018-11-27 04:30:00', '2018-11-27 04:45:00'],
              dtype='datetime64[ns]', length=545, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00', '2018-11-04 19:00:00',
               '2018-11-04 19:15:00', '2018-11-04 19:30:00'],
              dtype='datetime64[ns]', freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-26 00:00:00', '2018-11-26 00:15:00',
               '2018-11-26 00:30:00', '2018-11-26 00:45:00',
               '2018-11-26 01:00:00', '2018-11-26 01:15:00',
               '2018-11-26 01:30:00', '2018-11-26 01:45:00',
               '2018-11-26 02:00:00', '2018-11-26 02:15:00'],
              dtype='datetime64[ns]', length=906, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-27 00:45:00', '2018-11-27 01:00:00',
               '2018-11-27 01:15:00', '2018-11-27 01:30:00',
               '2018-11-27 01:45:00', '2018-11-27 02:00:00',
               '2018-11-27 02:15:00', '2018-11-27 02:30:00',
               '2018-11-27 02:45:00', '2018-11-27 03:00:00'],
              dtype='datetime64[ns]', length=164, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-10 16:00:00', '2018-11-10 16:15:00',
               '2018-11-10 16:30:00', '2018-11-10 16:45:00',
               '2018-11-10 17:00:00', '2018-11-10 17:15:00',
               '2018-11-10 17:30:00', '2018-11-10 17:45:00',
               '2018-11-10 18:00:00', '2018-11-10 18:15:00'],
              dtype='datetime64[ns]', length=938, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-16 06:15:00', '2018-11-16 06:30:00',
               '2018-11-16 06:45:00', '2018-11-16 07:00:00',
               '2018-11-16 07:15:00', '2018-11-16 07:30:00',
               '2018-11-16 07:45:00', '2018-11-16 08:00:00',
               '2018-11-16 08:15:00', '2018-11-16 08:30:00',
               ...
               '2018-11-26 18:45:00', '2018-11-26 19:00:00',
               '2018-11-26 19:15:00', '2018-11-26 19:30:00',
               '2018-11-26 19:45:00', '2018-11-26 20:00:00',
               '2018-11-26 20:15:00', '2018-11-26 20:30:00',
               '2018-11-26 20:45:00', '2018-11-26 21:00:00'],
              dtype='datetime64[ns]', length=495, freq=None).
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-12 17:00:00', '2018-11-12 17:15:00',
               '2018-11-12 17:30:00', '2018-11-12 17:45:00',
               '2018-11-12 18:00:00', '2018-11-12 18:15:00',
               '2018-11-12 18:30:00', '2018-11-12 18:45:00',
               '2018-11-12 19:00:00', '2018-11-12 19:15:00'],
              dtype='datetime64[ns]', length=1134, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-15 18:30:00', '2018-11-15 18:45:00',
               '2018-11-15 19:00:00', '2018-11-15 19:15:00',
               '2018-11-15 19:30:00', '2018-11-15 19:45:00',
               '2018-11-15 20:00:00', '2018-11-15 20:15:00',
               '2018-11-15 20:30:00', '2018-11-15 20:45:00',
               ...
               '2018-11-30 20:45:00', '2018-11-30 21:00:00',
               '2018-11-30 21:15:00', '2018-11-30 21:30:00',
               '2018-11-30 21:45:00', '2018-11-30 22:00:00',
               '2018-11-30 22:15:00', '2018-11-30 22:30:00',
               '2018-11-30 22:45:00', '2018-11-30 23:00:00'],
              dtype='datetime64[ns]', length=708, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-30 20:45:00', '2018-11-30 21:00:00',
               '2018-11-30 21:15:00', '2018-11-30 21:30:00',
               '2018-11-30 21:45:00', '2018-11-30 22:00:00',
               '2018-11-30 22:15:00', '2018-11-30 22:30:00',
               '2018-11-30 22:45:00', '2018-11-30 23:00:00'],
              dtype='datetime64[ns]', length=2877, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-11-1T00 to 2018-11-30T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               ...
               '2018-11-18 15:15:00', '2018-11-18 15:30:00',
               '2018-11-18 15:45:00', '2018-11-18 16:00:00',
               '2018-11-18 16:15:00', '2018-11-18 16:30:00',
               '2018-11-18 16:45:00', '2018-11-18 17:00:00',
               '2018-11-18 17:15:00', '2018-11-18 17:30:00'],
              dtype='datetime64[ns]', length=1703, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-23 13:00:00', '2018-11-23 13:15:00',
               '2018-11-23 13:30:00', '2018-11-23 13:45:00',
               '2018-11-23 14:00:00', '2018-11-23 14:15:00',
               '2018-11-23 14:30:00', '2018-11-23 14:45:00',
               '2018-11-23 15:00:00', '2018-11-23 15:15:00',
               ...
               '2018-11-30 11:00:00', '2018-11-30 11:15:00',
               '2018-11-30 11:30:00', '2018-11-30 11:45:00',
               '2018-11-30 12:00:00', '2018-11-30 12:15:00',
               '2018-11-30 12:30:00', '2018-11-30 12:45:00',
               '2018-11-30 13:00:00', '2018-11-30 13:15:00'],
              dtype='datetime64[ns]', length=674, freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00', '2018-11-07 19:00:00',
               '2018-11-07 19:15:00', '2018-11-07 19:30:00',
               '2018-11-07 19:45:00', '2018-11-07 20:00:00',
               '2018-11-07 20:15:00', '2018-11-07 20:30:00',
               '2018-11-07 20:45:00', '2018-11-07 21:00:00',
               '2018-11-07 21:15:00', '2018-11-11 21:00:00',
               '2018-11-11 21:15:00', '2018-11-11 21:30:00',
               '2018-11-11 21:45:00', '2018-11-11 22:00:00',
               '2018-11-11 22:15:00', '2018-11-11 22:30:00',
               '2018-11-11 22:45:00', '2018-11-11 23:00:00',
               '2018-11-11 23:15:00', '2018-11-11 23:30:00',
               '2018-11-11 23:45:00', '2018-11-12 00:00:00',
               '2018-11-12 00:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00', '2018-11-07 19:00:00',
               '2018-11-07 19:15:00', '2018-11-07 19:30:00',
               '2018-11-07 19:45:00', '2018-11-07 20:00:00',
               '2018-11-07 20:15:00', '2018-11-07 20:30:00',
               '2018-11-07 20:45:00', '2018-11-07 21:00:00',
               '2018-11-07 21:15:00', '2018-11-11 21:00:00',
               '2018-11-11 21:15:00', '2018-11-11 21:30:00',
               '2018-11-11 21:45:00', '2018-11-11 22:00:00',
               '2018-11-11 22:15:00', '2018-11-11 22:30:00',
               '2018-11-11 22:45:00', '2018-11-11 23:00:00',
               '2018-11-11 23:15:00', '2018-11-11 23:30:00',
               '2018-11-11 23:45:00', '2018-11-12 00:00:00',
               '2018-11-12 00:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-11-1T00 to 2018-11-30T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-11-01 00:00:00', '2018-11-01 00:15:00',
               '2018-11-01 00:30:00', '2018-11-01 00:45:00',
               '2018-11-01 01:00:00', '2018-11-01 01:15:00',
               '2018-11-01 01:30:00', '2018-11-01 01:45:00',
               '2018-11-01 02:00:00', '2018-11-01 02:15:00',
               '2018-11-01 02:30:00', '2018-11-01 02:45:00',
               '2018-11-01 03:00:00', '2018-11-01 03:15:00',
               '2018-11-01 03:30:00', '2018-11-01 03:45:00',
               '2018-11-01 04:00:00', '2018-11-01 04:15:00',
               '2018-11-01 04:30:00', '2018-11-01 04:45:00',
               '2018-11-01 05:00:00', '2018-11-01 05:15:00',
               '2018-11-01 05:30:00', '2018-11-01 05:45:00',
               '2018-11-01 06:00:00', '2018-11-01 06:15:00',
               '2018-11-01 06:30:00', '2018-11-01 06:45:00',
               '2018-11-01 07:00:00', '2018-11-01 07:15:00',
               '2018-11-01 07:30:00', '2018-11-01 07:45:00',
               '2018-11-01 08:00:00', '2018-11-07 19:00:00',
               '2018-11-07 19:15:00', '2018-11-07 19:30:00',
               '2018-11-07 19:45:00', '2018-11-07 20:00:00',
               '2018-11-07 20:15:00', '2018-11-07 20:30:00',
               '2018-11-07 20:45:00', '2018-11-07 21:00:00',
               '2018-11-07 21:15:00', '2018-11-11 21:00:00',
               '2018-11-11 21:15:00', '2018-11-11 21:30:00',
               '2018-11-11 21:45:00', '2018-11-11 22:00:00',
               '2018-11-11 22:15:00', '2018-11-11 22:30:00',
               '2018-11-11 22:45:00', '2018-11-11 23:00:00',
               '2018-11-11 23:15:00', '2018-11-11 23:30:00',
               '2018-11-11 23:45:00', '2018-11-12 00:00:00',
               '2018-11-12 00:15:00'],
              dtype='datetime64[ns]', freq=None).
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

{L:539} Processing discharge for station 15276000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:270} Extrapolating ratingData upward for station 15276000.
{L:124} max data value: 7.73, max INDEP value is 7.15
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-07 10:45:00', '2018-12-07 11:00:00',
               '2018-12-07 11:15:00', '2018-12-07 11:30:00',
               '2018-12-07 11:45:00', '2018-12-07 12:00:00',
               '2018-12-07 12:15:00', '2018-12-07 12:30:00'],
              dtype='datetime64[ns]', freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-12-13 22:00:00', '2018-12-13 22:15:00',
               '2018-12-13 22:30:00', '2018-12-13 22:45:00',
               '2018-12-13 23:00:00', '2018-12-13 23:15:00',
               '2018-12-13 23:30:00', '2018-12-13 23:45:00',
               '2018-12-14 00:00:00', '2018-12-14 00:15:00',
               ...
               '2018-12-31 14:45:00', '2018-12-31 15:00:00',
               '2018-12-31 15:15:00', '2018-12-31 15:30:00',
               '2018-12-31 15:45:00', '2018-12-31 16:00:00',
               '2018-12-31 16:15:00', '2018-12-31 16:30:00',
               '2018-12-31 16:45:00', '2018-12-31 17:00:00'],
              dtype='datetime64[ns]', length=1709, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-11 18:30:00', '2018-12-11 18:45:00',
               '2018-12-11 19:00:00', '2018-12-11 19:15:00',
               '2018-12-11 19:30:00', '2018-12-11 19:45:00',
               '2018-12-11 20:00:00', '2018-12-11 20:15:00',
               '2018-12-11 20:30:00', '2018-12-11 20:45:00'],
              dtype='datetime64[ns]', length=278, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15290000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-26 14:15:00', '2018-12-26 14:30:00',
               '2018-12-26 14:45:00', '2018-12-26 15:00:00',
               '2018-12-26 15:15:00', '2018-12-26 15:30:00',
               '2018-12-26 15:45:00', '2018-12-26 16:00:00',
               '2018-12-26 16:15:00', '2018-12-26 16:30:00'],
              dtype='datetime64[ns]', length=1061, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15271000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239900 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-31 20:45:00', '2018-12-31 21:00:00',
               '2018-12-31 21:15:00', '2018-12-31 21:30:00',
               '2018-12-31 21:45:00', '2018-12-31 22:00:00',
               '2018-12-31 22:15:00', '2018-12-31 22:30:00',
               '2018-12-31 22:45:00', '2018-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-12-21 15:15:00', '2018-12-21 15:30:00',
               '2018-12-21 15:45:00', '2018-12-21 16:00:00',
               '2018-12-21 16:15:00', '2018-12-21 16:30:00',
               '2018-12-21 16:45:00', '2018-12-21 17:00:00',
               '2018-12-21 17:15:00', '2018-12-21 17:30:00',
               ...
               '2018-12-31 20:45:00', '2018-12-31 21:00:00',
               '2018-12-31 21:15:00', '2018-12-31 21:30:00',
               '2018-12-31 21:45:00', '2018-12-31 22:00:00',
               '2018-12-31 22:15:00', '2018-12-31 22:30:00',
               '2018-12-31 22:45:00', '2018-12-31 23:00:00'],
              dtype='datetime64[ns]', length=992, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-21 12:45:00', '2018-12-21 13:00:00',
               '2018-12-21 13:15:00', '2018-12-21 13:30:00',
               '2018-12-21 13:45:00', '2018-12-21 14:00:00',
               '2018-12-21 14:15:00', '2018-12-21 14:30:00',
               '2018-12-21 14:45:00', '2018-12-21 15:00:00'],
              dtype='datetime64[ns]', length=744, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15281000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:550} Discharge dataset is empty. Check for gage data or use mean time series.
{L:416} Accessed gage data.
{L:420} Gage dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:466} processing final discharge data

{L:539} Processing discharge for station 15295700 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15239070 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-30 16:00:00', '2018-12-30 16:15:00',
               '2018-12-30 16:30:00', '2018-12-30 16:45:00',
               '2018-12-30 17:00:00', '2018-12-30 17:15:00',
               '2018-12-30 17:30:00', '2018-12-30 17:45:00',
               '2018-12-30 18:00:00', '2018-12-30 18:15:00'],
              dtype='datetime64[ns]', length=731, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15275100 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-27 06:00:00', '2018-12-27 06:15:00',
               '2018-12-27 06:30:00', '2018-12-27 06:45:00',
               '2018-12-27 07:00:00', '2018-12-27 07:15:00',
               '2018-12-27 07:30:00', '2018-12-27 07:45:00',
               '2018-12-27 08:00:00', '2018-12-27 08:15:00'],
              dtype='datetime64[ns]', length=437, freq=None).
{L:466} processing final discharge data

{L:539} Processing discharge for station 15266300 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15284000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:72} calculating mean time series
{L:346} fill consecutive nan gaps of over 8 days with function <function find_mean_time_series at 0x1604fe660>.
{L:347} Dates replaced: DatetimeIndex(['2018-12-09 17:45:00', '2018-12-09 18:00:00',
               '2018-12-09 18:15:00', '2018-12-09 18:30:00',
               '2018-12-09 18:45:00', '2018-12-09 19:00:00',
               '2018-12-09 19:15:00', '2018-12-09 19:30:00',
               '2018-12-09 19:45:00', '2018-12-09 20:00:00',
               ...
               '2018-12-31 20:45:00', '2018-12-31 21:00:00',
               '2018-12-31 21:15:00', '2018-12-31 21:30:00',
               '2018-12-31 21:45:00', '2018-12-31 22:00:00',
               '2018-12-31 22:15:00', '2018-12-31 22:30:00',
               '2018-12-31 22:45:00', '2018-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2134, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-06 13:30:00', '2018-12-06 13:45:00',
               '2018-12-06 14:00:00', '2018-12-06 14:15:00',
               '2018-12-06 14:30:00', '2018-12-06 14:45:00',
               '2018-12-06 15:00:00', '2018-12-06 15:15:00',
               '2018-12-06 15:30:00', '2018-12-06 15:45:00'],
              dtype='datetime64[ns]', length=544, freq='15T').
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-12-09 06:00:00', '2018-12-09 06:15:00',
               '2018-12-09 06:30:00', '2018-12-09 06:45:00',
               '2018-12-09 07:00:00', '2018-12-09 07:15:00',
               '2018-12-09 07:30:00', '2018-12-09 07:45:00',
               '2018-12-09 08:00:00', '2018-12-09 08:15:00',
               ...
               '2018-12-31 20:45:00', '2018-12-31 21:00:00',
               '2018-12-31 21:15:00', '2018-12-31 21:30:00',
               '2018-12-31 21:45:00', '2018-12-31 22:00:00',
               '2018-12-31 22:15:00', '2018-12-31 22:30:00',
               '2018-12-31 22:45:00', '2018-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2181, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-07 01:30:00', '2018-12-07 01:45:00',
               '2018-12-07 02:00:00', '2018-12-07 02:15:00',
               '2018-12-07 02:30:00', '2018-12-07 02:45:00',
               '2018-12-07 03:00:00', '2018-12-07 03:15:00',
               '2018-12-07 03:30:00', '2018-12-07 03:45:00'],
              dtype='datetime64[ns]', length=592, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15292000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               ...
               '2018-12-31 20:45:00', '2018-12-31 21:00:00',
               '2018-12-31 21:15:00', '2018-12-31 21:30:00',
               '2018-12-31 21:45:00', '2018-12-31 22:00:00',
               '2018-12-31 22:15:00', '2018-12-31 22:30:00',
               '2018-12-31 22:45:00', '2018-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2973, freq='15T').
{L:466} processing final discharge data

{L:539} Processing discharge for station 15274600 from 2018-12-1T00 to 2018-12-31T23:00.
{L:546} Accessed discharge data.
{L:571} Some questionable flags present for discharge data.
{L:584} There is over 75 percent good gage data for the time range of the questionable flags, so naning out the discharge data to use gage data instead.
{L:416} Accessed gage data.
{L:346} fill consecutive nan gaps of over 8 days with function <function discharge_from_gage_or_mean at 0x1604fe8e0>.
{L:347} Dates replaced: DatetimeIndex(['2018-12-04 17:00:00', '2018-12-04 17:15:00',
               '2018-12-04 17:30:00', '2018-12-04 17:45:00',
               '2018-12-04 18:00:00', '2018-12-04 18:15:00',
               '2018-12-04 18:30:00', '2018-12-04 18:45:00',
               '2018-12-04 19:00:00', '2018-12-04 19:15:00',
               ...
               '2018-12-31 20:45:00', '2018-12-31 21:00:00',
               '2018-12-31 21:15:00', '2018-12-31 21:30:00',
               '2018-12-31 21:45:00', '2018-12-31 22:00:00',
               '2018-12-31 22:15:00', '2018-12-31 22:30:00',
               '2018-12-31 22:45:00', '2018-12-31 23:00:00'],
              dtype='datetime64[ns]', length=2617, freq=None).
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:466} processing final discharge data

{L:631} Processing temp for station 15276000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15290000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15258000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239900 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:640} this station has temp data for several years but the stats don't contain a realistic mean so we have to calculate it ourselves
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15295700 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15239070 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15266300 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15284000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:631} Processing temp for station 15292780 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:658} Temp dataset is empty. Use mean time series.
{L:72} calculating mean time series
{L:500} processing final temp data

{L:631} Processing temp for station 15276000 from 2018-12-1T00 to 2018-12-31T23:00.
{L:637} Accessed temp data.
{L:386} fill consecutive nan gaps of under 8 days by interpolating.
{L:387} Dates replaced: DatetimeIndex(['2018-12-01 00:00:00', '2018-12-01 00:15:00',
               '2018-12-01 00:30:00', '2018-12-01 00:45:00',
               '2018-12-01 01:00:00', '2018-12-01 01:15:00',
               '2018-12-01 01:30:00', '2018-12-01 01:45:00',
               '2018-12-01 02:00:00', '2018-12-01 02:15:00',
               '2018-12-01 02:30:00', '2018-12-01 02:45:00',
               '2018-12-01 03:00:00', '2018-12-01 03:15:00',
               '2018-12-01 03:30:00', '2018-12-01 03:45:00',
               '2018-12-01 04:00:00', '2018-12-01 04:15:00',
               '2018-12-01 04:30:00', '2018-12-01 04:45:00',
               '2018-12-01 05:00:00', '2018-12-01 05:15:00',
               '2018-12-01 05:30:00', '2018-12-01 05:45:00',
               '2018-12-01 06:00:00', '2018-12-01 06:15:00',
               '2018-12-01 06:30:00', '2018-12-01 06:45:00',
               '2018-12-01 07:00:00', '2018-12-01 07:15:00',
               '2018-12-01 07:30:00', '2018-12-01 07:45:00',
               '2018-12-01 08:00:00', '2018-12-01 08:15:00',
               '2018-12-01 08:30:00', '2018-12-01 08:45:00',
               '2018-12-01 09:00:00'],
              dtype='datetime64[ns]', freq='15T').
{L:500} processing final temp data

{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780
{L:750} Using factor of 2 for making station 15292780

plot_year(year)